use cases enabled by neuroscientific algorithms in AR/VR:
1) early detecting Alzheimer's, Parkinson's
2) early detecting ADHD and autism
3) medical eLearning
The document summarizes a startup's efforts to build a "pulse watch for the brain" to measure and track human attention and cognitive load. The startup aims to collect neuroscience and biometric data from esports players using augmented reality glasses to help optimize training, identify fatigue, and enable peak performance. Initial partnerships are with leading esports teams, and the goal is to develop analytics and training software for various performance-critical industries.
The document describes a startup called Mindset Technologies that is developing a wearable device and analytics platform to monitor and provide biofeedback on human attention and mental load. The system uses augmented reality glasses to capture eye-related data which is analyzed using algorithms to predict attention levels and fatigue. This information is provided back to users in high-demand industries like esports, aviation and automotive to help improve performance and safety by managing cognitive load and avoiding distractions. The founders have neuroscience and technical backgrounds and partnerships with hardware companies and esports teams. The goal is to help various industries and applications that require sustained focus.
Mindset Technologies - diagnostics / telemedicine / digital health use casesAladarTepeleamatchma
We leverage neuroscientific algorithms and machine vision (initially in AR/VR and later in telemedical devices) to enable the early detection of:
- neurodevelopmental diseases like Alzheimer's, Parkinson's
- neurodegenerative diseases like autism and ADHD
... by building a “pulse watch for the brain”
Early detecting neurodegenerative diseases like Alzheimer's and Parkinson's enabled by neuroscientific algorithms in AR/VR via continuous telemedical monitoring
Mindset Technologies develops a brain monitoring platform to help esports athletes optimize training and maximize performance. By analyzing eye-related parameters using augmented reality glasses, their solution can measure and predict mental load as a "pulse watch for the brain". This provides objective feedback on cognitive load and emotional state to help players, coaches, and fans better understand in-game dynamics. Their platform aims to help teams improve training outcomes, identify talent, and enable strategic adjustments during competitions through unprecedented insights into players' mental capacities.
The document describes an off-grid tech solution called Eye-Dentify that aims to make patient tracking and data collection more accurate and efficient during medical outreach campaigns to optimize patient care. It consists of (1) a $5-12 patient bracelet that identifies and tracks patients, storing and transferring their data between stations and (2) a digitized patient record accessed on a portable device. The solution aims to address inefficiencies in paper-based systems like lost records and time spent re-collecting data. It seeks funding and partnerships to pilot the solution and further test its value proposition and business model.
The document discusses several major project competitions for students, including the Motorola Scholar Programme, IBM's Great Mind Challenge, and Microsoft's Imagine Cup. It provides details on the eligibility and prizes for each competition, as well as the resources available to students to develop their projects, such as free software, online tutorials, mentoring support, and more. The competitions aim to help students gain real-world experience by working on practical projects, while also developing skills like problem solving, teamwork, and communications that will benefit their careers.
The document summarizes a startup's efforts to build a "pulse watch for the brain" to measure and track human attention and cognitive load. The startup aims to collect neuroscience and biometric data from esports players using augmented reality glasses to help optimize training, identify fatigue, and enable peak performance. Initial partnerships are with leading esports teams, and the goal is to develop analytics and training software for various performance-critical industries.
The document describes a startup called Mindset Technologies that is developing a wearable device and analytics platform to monitor and provide biofeedback on human attention and mental load. The system uses augmented reality glasses to capture eye-related data which is analyzed using algorithms to predict attention levels and fatigue. This information is provided back to users in high-demand industries like esports, aviation and automotive to help improve performance and safety by managing cognitive load and avoiding distractions. The founders have neuroscience and technical backgrounds and partnerships with hardware companies and esports teams. The goal is to help various industries and applications that require sustained focus.
Mindset Technologies - diagnostics / telemedicine / digital health use casesAladarTepeleamatchma
We leverage neuroscientific algorithms and machine vision (initially in AR/VR and later in telemedical devices) to enable the early detection of:
- neurodevelopmental diseases like Alzheimer's, Parkinson's
- neurodegenerative diseases like autism and ADHD
... by building a “pulse watch for the brain”
Early detecting neurodegenerative diseases like Alzheimer's and Parkinson's enabled by neuroscientific algorithms in AR/VR via continuous telemedical monitoring
Mindset Technologies develops a brain monitoring platform to help esports athletes optimize training and maximize performance. By analyzing eye-related parameters using augmented reality glasses, their solution can measure and predict mental load as a "pulse watch for the brain". This provides objective feedback on cognitive load and emotional state to help players, coaches, and fans better understand in-game dynamics. Their platform aims to help teams improve training outcomes, identify talent, and enable strategic adjustments during competitions through unprecedented insights into players' mental capacities.
The document describes an off-grid tech solution called Eye-Dentify that aims to make patient tracking and data collection more accurate and efficient during medical outreach campaigns to optimize patient care. It consists of (1) a $5-12 patient bracelet that identifies and tracks patients, storing and transferring their data between stations and (2) a digitized patient record accessed on a portable device. The solution aims to address inefficiencies in paper-based systems like lost records and time spent re-collecting data. It seeks funding and partnerships to pilot the solution and further test its value proposition and business model.
The document discusses several major project competitions for students, including the Motorola Scholar Programme, IBM's Great Mind Challenge, and Microsoft's Imagine Cup. It provides details on the eligibility and prizes for each competition, as well as the resources available to students to develop their projects, such as free software, online tutorials, mentoring support, and more. The competitions aim to help students gain real-world experience by working on practical projects, while also developing skills like problem solving, teamwork, and communications that will benefit their careers.
Our diagnostic system can profile cognitive wellness and provide digital sensory stimulation therapy with lower error rates than paper tests. It is low cost and easy to use either on its own or to support existing protocols. A clinical trial of 50 Parkinson's patients in Italy will test the system for prehabilitation and measuring recovery. The company aims to integrate music, cognition, neurology and technology for mindfulness and cognitive assessment.
The document discusses using user personas to guide the design of a healthcare portal. It describes conducting research including interviews with 43 users from 4 countries to develop 9 personas representing the goals and needs of key user groups such as radiologists, administrators, and patients. The personas are used to ensure the portal design meets user needs and supports critical tasks.
[Case Study] Physician, Know Thy User: Using Personas to Target Content and U...Scott Abel
Presented by Joe Sokohl at Documentation and Training Life Sciences, June 23-26, 208 in Indianapolis.
Ever have a project fail? You met with your project team, you talked with the customer, you reviewed technical requirements. But did you talk to your users? Just as one diagnosis doesn’t fit all patients, one application’s approach doesn’t work for all users. Know who accesses your information and uses your applications. Only then choose your features. Using a case study of a multinational project covering four countries, 10 business units, and tens of thousands of content elements, we’ll explore personas, scenarios, and other user-centered techniques. We’ll look at identifying users as well as segregating content according to users and regulatory needs.
What was involved in this cases study?
First we analyzed the 10 business units and their approaches and definitions of business goals. Next we analyzed industry standards for medical devices and their usage.
But that wasn’t enough. We interviewed 40 people in 4 countries, and created an information architecture prototype. We then tested this prototype in hospitals, doctors’ offices, and on site where medical devices were in use.
Based on this contextual inquiry, we refined the architecture and our understanding of the users. Decisions were then made on what type of content would be both appropriate and legal for each user and in each country.
Only with a solid understanding of the users and their goals could we define a flexible, extensible, and usable information and content architecture.
Neurotech devices can track brain activity and physiological signals to monitor fatigue, attention, and focus in the workplace. This allows for benefits like increased productivity and safety, but also risks like loss of privacy and employee trust. Methods of neurotech include EEG headbands that detect fatigue, earbuds that flag attention lapses, and adaptive systems that adjust workloads based on cognitive load. However, companies must consider employee rights to privacy and disclosure as well as create a high-trust environment for neurotech to achieve benefits without unintended consequences like disengagement.
This document summarizes a presentation by Stephen Docherty, the Chief Information Officer of South London & Maudsley NHS Foundation Trust. It discusses how the IT department has transformed from a "command and control culture" with poor service to becoming more innovative and service-focused. It highlights projects like migrating staff to Office 365 and replacing aging PCs. It also discusses the vision to create an environment bringing together different groups to solve mental health problems through prototypes. Examples of digital prototypes discussed include applications to search patient records and remotely monitor sleep. The presentation ends by discussing sustainability transformation plans and how the King's Health Partnership will support local digital roadmap requirements.
DRIVE 2017 | 25 October - THE HUMAN TOUCH - Meaningful Data & Smart FashionCLICKNL
With the shift of the scope of societal issues to the system level and long-term impact, the individual threatens to be lost from sight. Socio-technical systems are often hard to comprehend for people. Within that growing complexity it’s important to (permanently) shift back to the human experience, the significance for a culture or community and the personal or user experience. A countermovement is needed from global to local. What makes people happy? What moves them and what challenges them? And what degree of autonomy do they want to preserve or give up? With the growing (technological) possibilities, more and more often the questions arises of what we want to measure and know (‘quantified self’) and what we can do with all that data in varying domains such as e-health, education and museums.
Data-Science g BBC ghjkkkksjsjsjsjjdjsnsnarendrancool
This document announces a 3-day Faculty Development Program on Data Science for Computer Vision to be held from January 9-11, 2024 at Vellore Institute of Technology in Vellore, India. The program will cover topics like PyTorch, neural networks, backpropagation, optimizers, CNN architectures like VGG16 and ResNet, object detection architectures like RCNN, and vision transformers. It provides details on registration fees, important dates, resource persons from industry, and the organizing committee members. The goal of the program is to provide fundamentals and push innovation at the intersection of computer vision and data science.
Chris Hollis - Big Data in Mental Health - 23rd July 2014 - 2kclcompbio
MindTech is an organization that can offer various services related to mental health technologies, including clinical and user perspectives, research expertise, governance and funding advice, and access to the NHS. They have expertise in areas like facial analysis, ambient patient monitoring, app development, serious games, and more. Their research approach involves identifying clinical problems, developing technological solutions, evaluating clinical and cost effectiveness, and disseminating solutions in the NHS. They collaborate with various partners like academics, SMEs, NHS trusts, and patients. They are working on projects involving technologies like e-mental health apps, online therapy, ambient monitoring, neuromodulation, serious games, and more to address issues like treatment adherence, assessment/diagnosis,
This document provides information about a proposed Health Information Card system. Some key points:
- The card would store a person's medical information and history in a centralized digital format similar to a debit/credit card for easy access by doctors.
- It aims to address issues with the current paper-based system like difficulty finding records, long wait times, and needing repeat tests.
- The card would allow fast, paperless retrieval and sharing of health data between patients, doctors, and hospitals using technologies like fingerprint scanning.
- The proposed system is intended to make healthcare more efficient, flexible and user-friendly for all parties by streamlining information management and medical processes.
AI for the Human Retina to Protect Newborn VisionStepan Pushkarev
The document discusses using artificial intelligence to help screen newborn babies for vision issues. It describes Pr3vent, a company that uses AI to analyze retinal images to identify potential vision problems. The document outlines the benefits of universal newborn vision screening to prevent vision loss and the economic savings it could provide. It then discusses how Pr3vent is developing an AI system trained on hundreds of thousands of retinal images to help identify issues and scale screening efforts. The document also covers lessons learned from developing healthcare AI applications and ensuring they are transparent, accountable and can be integrated into clinical workflows.
Slides from EdgeTalks October 2017 – Reshaping healthcare enterprises by design NHS Horizons
1. The document discusses challenges in reshaping healthcare enterprises through design. It addresses tackling complex problems in healthcare systems.
2. It also discusses working with healthcare systems at a large scale, using frameworks to assess entire systems and their many interconnected parts.
3. Rapid innovation and transformation of healthcare enterprises is another key topic, including using approaches like design thinking to enable innovative solutions and change at an enterprise level.
Best practices to assess and enhance brain function via mobile devices and ...SharpBrains
The document discusses best practices for assessing and enhancing brain function using mobile devices and wearables. It summarizes presentations from several speakers at a conference on this topic. Corinna Lathan discussed a mobile reaction time testing system called DANA that can help detect neurocognitive impairment. Eddie Martucci discussed his company Akili's approach of making medicine more engaging through digital games. Alex Doman talked about how wearables can provide personalized sleep reporting. Joan Severson presented on her company's BrainBaseline platform, which integrates cognitive performance measures with lifestyle data to track brain health over time.
We are a brain imaging clinical research organization (CRO) that also conducts research into enhancing creativity and intelligence through brain imaging and bionic-based software development. Through our network of over 60 neuroscience professionals affiliated with top institutions, we provide a wide range of brain imaging services including image acquisition, analysis, biostatistics, and advice. Our CRO operations support and fund the development of software aimed at optimizing normal brain functions like creativity and intelligence through brain training techniques.
Innowave Freedom Clearing House /freedom Nano users can have single-click access to Neuroshield™,
Neuroshield™ is a Clinical Decision Support Tool for Neurological Disorders, A comprehancive tool to
evealuate Qualitative and Quantitative conditions of the Human Brain. Neuroshield™ is a product from
“In-Med Prognostics“Is a company with leadership in, reliable and data-driven brain health diagnostic and
prognostic tools
The Aging Well Catalyst Project would involve a series of 5 workshops bringing together stakeholders from areas like healthcare, technology, and senior care to identify innovation opportunities for an aging society. The outputs would be published in a series of white papers and culminate in a public event. The Aging Well Accelerator would select and accelerate the top 3 startups in technologies supporting healthy aging over 6 months to help their path to market. Both projects aim to drive innovation and collaboration around aging well.
Planimeter Kft is a full service CRO specialized in translational medicine located in Budapest, Hungary. Their mission is to provide expertise in biostatistics for the pharmaceutical industry using rigorous quantitative methods. They have 16 employees and contractors who have experience in all phases of drug development. Their services include clinical trial design, data management, statistical analysis, and using new technologies like data mining and personalize medicine approaches.
The document summarizes a research project funded by the European Union's Framework Programme 7 to develop systems for predicting adverse events in intensive care patients with traumatic brain injuries. A consortium of 11 partners from 7 organizations received €2.3 million to build and test artificial intelligence systems for monitoring patients and predicting hypotensive episodes over 3 years. The project aims to create a platform for collaborative research across medical centers and develop core technologies to alert clinicians of potential health risks.
5 Best Companies in Digital Pathology Market, March 2023insightscare
TissueGnostics GmbH provides streamlined solutions for both biomedical imaging and image analysis through its tissue cytometers. Founded by Dr. Rupert Ecker based on his experience in microscopy during his PhD, TissueGnostics aims to advance research on cells and tissues through precision automation. The company develops its own software and works with partners to provide open platforms like TissueFAXS and COLUBRIS Tissue Cytometer with AI. Through collaborative projects, TissueGnostics continues innovating to address diverse questions in tissue cytometry while maintaining high standards for research and clinical applications.
The document discusses combining user experience research and web analytics to gain a more holistic understanding of users. It begins by outlining the speaker's background and defining key terms. It then explores why combining methods is beneficial by noting their individual strengths and weaknesses in capturing both qualitative and quantitative insights. The document also examines why these areas are not routinely combined, then provides three opportunities for integration: 1) Using customer research to inform analytics metrics 2) Leveraging analytics to drive user research 3) Integrating the areas throughout the product lifecycle to continually optimize the user experience. Case studies and tips for getting started with each opportunity are also presented.
This workshop is a comprehensive introduction to the application of Generative AI in healthcare. It provides healthcare professionals, educators, and researchers with practical experience in using Generative AI for data analysis, predictive modeling, and personalized treatment planning. The workshop also explores the use of Generative AI in medical education and research. No prior AI experience is required, making this a unique opportunity to learn about the latest advancements in Generative AI and its healthcare applications.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Our diagnostic system can profile cognitive wellness and provide digital sensory stimulation therapy with lower error rates than paper tests. It is low cost and easy to use either on its own or to support existing protocols. A clinical trial of 50 Parkinson's patients in Italy will test the system for prehabilitation and measuring recovery. The company aims to integrate music, cognition, neurology and technology for mindfulness and cognitive assessment.
The document discusses using user personas to guide the design of a healthcare portal. It describes conducting research including interviews with 43 users from 4 countries to develop 9 personas representing the goals and needs of key user groups such as radiologists, administrators, and patients. The personas are used to ensure the portal design meets user needs and supports critical tasks.
[Case Study] Physician, Know Thy User: Using Personas to Target Content and U...Scott Abel
Presented by Joe Sokohl at Documentation and Training Life Sciences, June 23-26, 208 in Indianapolis.
Ever have a project fail? You met with your project team, you talked with the customer, you reviewed technical requirements. But did you talk to your users? Just as one diagnosis doesn’t fit all patients, one application’s approach doesn’t work for all users. Know who accesses your information and uses your applications. Only then choose your features. Using a case study of a multinational project covering four countries, 10 business units, and tens of thousands of content elements, we’ll explore personas, scenarios, and other user-centered techniques. We’ll look at identifying users as well as segregating content according to users and regulatory needs.
What was involved in this cases study?
First we analyzed the 10 business units and their approaches and definitions of business goals. Next we analyzed industry standards for medical devices and their usage.
But that wasn’t enough. We interviewed 40 people in 4 countries, and created an information architecture prototype. We then tested this prototype in hospitals, doctors’ offices, and on site where medical devices were in use.
Based on this contextual inquiry, we refined the architecture and our understanding of the users. Decisions were then made on what type of content would be both appropriate and legal for each user and in each country.
Only with a solid understanding of the users and their goals could we define a flexible, extensible, and usable information and content architecture.
Neurotech devices can track brain activity and physiological signals to monitor fatigue, attention, and focus in the workplace. This allows for benefits like increased productivity and safety, but also risks like loss of privacy and employee trust. Methods of neurotech include EEG headbands that detect fatigue, earbuds that flag attention lapses, and adaptive systems that adjust workloads based on cognitive load. However, companies must consider employee rights to privacy and disclosure as well as create a high-trust environment for neurotech to achieve benefits without unintended consequences like disengagement.
This document summarizes a presentation by Stephen Docherty, the Chief Information Officer of South London & Maudsley NHS Foundation Trust. It discusses how the IT department has transformed from a "command and control culture" with poor service to becoming more innovative and service-focused. It highlights projects like migrating staff to Office 365 and replacing aging PCs. It also discusses the vision to create an environment bringing together different groups to solve mental health problems through prototypes. Examples of digital prototypes discussed include applications to search patient records and remotely monitor sleep. The presentation ends by discussing sustainability transformation plans and how the King's Health Partnership will support local digital roadmap requirements.
DRIVE 2017 | 25 October - THE HUMAN TOUCH - Meaningful Data & Smart FashionCLICKNL
With the shift of the scope of societal issues to the system level and long-term impact, the individual threatens to be lost from sight. Socio-technical systems are often hard to comprehend for people. Within that growing complexity it’s important to (permanently) shift back to the human experience, the significance for a culture or community and the personal or user experience. A countermovement is needed from global to local. What makes people happy? What moves them and what challenges them? And what degree of autonomy do they want to preserve or give up? With the growing (technological) possibilities, more and more often the questions arises of what we want to measure and know (‘quantified self’) and what we can do with all that data in varying domains such as e-health, education and museums.
Data-Science g BBC ghjkkkksjsjsjsjjdjsnsnarendrancool
This document announces a 3-day Faculty Development Program on Data Science for Computer Vision to be held from January 9-11, 2024 at Vellore Institute of Technology in Vellore, India. The program will cover topics like PyTorch, neural networks, backpropagation, optimizers, CNN architectures like VGG16 and ResNet, object detection architectures like RCNN, and vision transformers. It provides details on registration fees, important dates, resource persons from industry, and the organizing committee members. The goal of the program is to provide fundamentals and push innovation at the intersection of computer vision and data science.
Chris Hollis - Big Data in Mental Health - 23rd July 2014 - 2kclcompbio
MindTech is an organization that can offer various services related to mental health technologies, including clinical and user perspectives, research expertise, governance and funding advice, and access to the NHS. They have expertise in areas like facial analysis, ambient patient monitoring, app development, serious games, and more. Their research approach involves identifying clinical problems, developing technological solutions, evaluating clinical and cost effectiveness, and disseminating solutions in the NHS. They collaborate with various partners like academics, SMEs, NHS trusts, and patients. They are working on projects involving technologies like e-mental health apps, online therapy, ambient monitoring, neuromodulation, serious games, and more to address issues like treatment adherence, assessment/diagnosis,
This document provides information about a proposed Health Information Card system. Some key points:
- The card would store a person's medical information and history in a centralized digital format similar to a debit/credit card for easy access by doctors.
- It aims to address issues with the current paper-based system like difficulty finding records, long wait times, and needing repeat tests.
- The card would allow fast, paperless retrieval and sharing of health data between patients, doctors, and hospitals using technologies like fingerprint scanning.
- The proposed system is intended to make healthcare more efficient, flexible and user-friendly for all parties by streamlining information management and medical processes.
AI for the Human Retina to Protect Newborn VisionStepan Pushkarev
The document discusses using artificial intelligence to help screen newborn babies for vision issues. It describes Pr3vent, a company that uses AI to analyze retinal images to identify potential vision problems. The document outlines the benefits of universal newborn vision screening to prevent vision loss and the economic savings it could provide. It then discusses how Pr3vent is developing an AI system trained on hundreds of thousands of retinal images to help identify issues and scale screening efforts. The document also covers lessons learned from developing healthcare AI applications and ensuring they are transparent, accountable and can be integrated into clinical workflows.
Slides from EdgeTalks October 2017 – Reshaping healthcare enterprises by design NHS Horizons
1. The document discusses challenges in reshaping healthcare enterprises through design. It addresses tackling complex problems in healthcare systems.
2. It also discusses working with healthcare systems at a large scale, using frameworks to assess entire systems and their many interconnected parts.
3. Rapid innovation and transformation of healthcare enterprises is another key topic, including using approaches like design thinking to enable innovative solutions and change at an enterprise level.
Best practices to assess and enhance brain function via mobile devices and ...SharpBrains
The document discusses best practices for assessing and enhancing brain function using mobile devices and wearables. It summarizes presentations from several speakers at a conference on this topic. Corinna Lathan discussed a mobile reaction time testing system called DANA that can help detect neurocognitive impairment. Eddie Martucci discussed his company Akili's approach of making medicine more engaging through digital games. Alex Doman talked about how wearables can provide personalized sleep reporting. Joan Severson presented on her company's BrainBaseline platform, which integrates cognitive performance measures with lifestyle data to track brain health over time.
We are a brain imaging clinical research organization (CRO) that also conducts research into enhancing creativity and intelligence through brain imaging and bionic-based software development. Through our network of over 60 neuroscience professionals affiliated with top institutions, we provide a wide range of brain imaging services including image acquisition, analysis, biostatistics, and advice. Our CRO operations support and fund the development of software aimed at optimizing normal brain functions like creativity and intelligence through brain training techniques.
Innowave Freedom Clearing House /freedom Nano users can have single-click access to Neuroshield™,
Neuroshield™ is a Clinical Decision Support Tool for Neurological Disorders, A comprehancive tool to
evealuate Qualitative and Quantitative conditions of the Human Brain. Neuroshield™ is a product from
“In-Med Prognostics“Is a company with leadership in, reliable and data-driven brain health diagnostic and
prognostic tools
The Aging Well Catalyst Project would involve a series of 5 workshops bringing together stakeholders from areas like healthcare, technology, and senior care to identify innovation opportunities for an aging society. The outputs would be published in a series of white papers and culminate in a public event. The Aging Well Accelerator would select and accelerate the top 3 startups in technologies supporting healthy aging over 6 months to help their path to market. Both projects aim to drive innovation and collaboration around aging well.
Planimeter Kft is a full service CRO specialized in translational medicine located in Budapest, Hungary. Their mission is to provide expertise in biostatistics for the pharmaceutical industry using rigorous quantitative methods. They have 16 employees and contractors who have experience in all phases of drug development. Their services include clinical trial design, data management, statistical analysis, and using new technologies like data mining and personalize medicine approaches.
The document summarizes a research project funded by the European Union's Framework Programme 7 to develop systems for predicting adverse events in intensive care patients with traumatic brain injuries. A consortium of 11 partners from 7 organizations received €2.3 million to build and test artificial intelligence systems for monitoring patients and predicting hypotensive episodes over 3 years. The project aims to create a platform for collaborative research across medical centers and develop core technologies to alert clinicians of potential health risks.
5 Best Companies in Digital Pathology Market, March 2023insightscare
TissueGnostics GmbH provides streamlined solutions for both biomedical imaging and image analysis through its tissue cytometers. Founded by Dr. Rupert Ecker based on his experience in microscopy during his PhD, TissueGnostics aims to advance research on cells and tissues through precision automation. The company develops its own software and works with partners to provide open platforms like TissueFAXS and COLUBRIS Tissue Cytometer with AI. Through collaborative projects, TissueGnostics continues innovating to address diverse questions in tissue cytometry while maintaining high standards for research and clinical applications.
The document discusses combining user experience research and web analytics to gain a more holistic understanding of users. It begins by outlining the speaker's background and defining key terms. It then explores why combining methods is beneficial by noting their individual strengths and weaknesses in capturing both qualitative and quantitative insights. The document also examines why these areas are not routinely combined, then provides three opportunities for integration: 1) Using customer research to inform analytics metrics 2) Leveraging analytics to drive user research 3) Integrating the areas throughout the product lifecycle to continually optimize the user experience. Case studies and tips for getting started with each opportunity are also presented.
This workshop is a comprehensive introduction to the application of Generative AI in healthcare. It provides healthcare professionals, educators, and researchers with practical experience in using Generative AI for data analysis, predictive modeling, and personalized treatment planning. The workshop also explores the use of Generative AI in medical education and research. No prior AI experience is required, making this a unique opportunity to learn about the latest advancements in Generative AI and its healthcare applications.
Similar to Mindset Technologies - MedTech / digital health use cases (20)
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Essentials of Automations: The Art of Triggers and Actions in FME
Mindset Technologies - MedTech / digital health use cases
1. We leverage neuroscience and machine
vision to enable
▪ better medical care
▪ improved medical training
by building a “pulse watch for the brain”
TEASER
INFO
HUMAN ATTENTION
IN FOCUS
2. Our Eyes: “Mirror of the Brain“
Our founder and CEO Christian Kusmitsch, PhD is a
neuroscientist
His research field is human attention, advocating:
“eyes reflect brain activity“
One of his patents is applicable for this venture
By interpreting a set of eye-related parameters,
we can measure and predict mental load and detect
irregularities in brain activity
3. Non-invasive brain tracking is going mainstream
In the last three decades technologies to
measure heart-related signals were
conceptualized, developed and commercialized,
gradually reaching mass-market appeal.
biofeedback subject
cuffs, sensors & co.
traditional measurement methods modern, user-friendly solutions
>> Brain-monitoring is the next frontier in biofeedback and will enable various medical applications from early detection to improved training methods
EEG
data from wearable pulse measurement device
data from specialized AR glasses / high-end camera
1990 - 2020
2020 - 2030
We have the expert team, patent, partners and
customer pipeline to record, analyze and
interpret correlates of attention and
cognition (e.g. eye-movements, eye-blinks),
pointing at fatigue and mental irregularities.
4. The product
We partner with several high-end augmented
reality glasses manufacturers that enable us to
record eye-related parameters at very high spatial
and temporal resolution
We analyze and compare captured data to
individual history and the relevant peer group
Feedback to (individual,) doctor and pool of
specialists on the status and predicted pathway
5. Early detection use cases for children
Mental health and neuro-developmental disorders
Children have a high propensity to play cognitive games which can be used to
retrieve psychophysiological correlates of attention, e.g. blink rate speed changes.
Continuous behavioral monitoring facilitates more reliable early diagnosis (and
treatment) of neurological disorders.
The interpretation of unusual patterns can help detect warning signals for
pathological irregularities and changes in brain function like autism and ADHD
(attention deficit hyperactivity disorder).
6. Early diagnosis of aging-related neuro-degenerative disorders
Continuous monitoring of eye-related parameters can detect early signals of mental degradation and
neurodegenerative diseases, e.g. Parkinson’s and Alzheimer’s disease.
In this context, interpreting eye behavior serves as proxy for pathological
changes in brain function which can be induced by different factors.
Changes of neurotransmitters in the brain influence eye-movement
patterns which consequently significantly deviate from the norm.
Early detection can have significant benefits, enabling timely treatment
(e.g. cognitive training) to alleviate symptoms and improve quality of life.
We have submitted a research proposal to the European Commission’s call for Active Assisted Living (AAL):
http://www.aal-europe.eu/
Early detection use cases for elderly
7. Optimized curriculum design
Testing learning content with students in AR/VR environments allows for insights on apprehension and fatigue. This
enables optimization of content for easier, resource-efficient (e-)learning which results in better use of lab hours and
medical equipment.
Process mining and quality management
Learning new skills depends both on the viewer’s attention and the underlying device design and user experience.
By analyzing device usage in VR we can identify friction in the process and avoid accidents / inefficient use.
We have submitted a research proposal to the European Innovation
Council’s (EIC) Fast Track to Innovation (FTI) program with several
international partners from the public and private sector:
https://ec.europa.eu/programmes/horizon2020/en/h2020-section/fast-track-innovation-pilot
Microsoft HoloLens augmented reality support of surgical and learning environments demonstrating industry’s future
https://www.linkedin.com/posts/adamdanyal_techthatmatters-surgery-healthcare-activity-6647665003585511424-AvCo
https://www.linkedin.com/feed/update/urn:li:activity:6715284322758344704/
Improving medical education / training
8. Co-founders: Expertise in neuroscience, health and business
Christian Kusmitsch, PhD
Chief Executive Officer
• PhD in Neuroscience, University of Vienna
and University of California San Diego (UCSD)
• Brain researcher at the Institute of Public Health Vienna
• Management consultant focussing on pharma and healthcare
• Former R&D and innovation manager at UBIMET, a Red Bull company
Aladar Tepelea
business development
• Corporate finance and investor relations professional
• Partner in strategic innovation consultancy
• Connector to venture investors, lecturer on business development
• Former BlackRock and Novartis strategy manager
9. Technical team: Deep know-how of seasoned experts
Grischa Meyer, PhD
Chief Technology Officer
• Scientific Application/Infrastructure Specialist at Roche
• Full-stack Engineer at real-time speech analysis venture
• Founder of several technology startups
• Senior Software Engineer and Application Architect at
Monash University, responsible for architecture,
development, operations for open-source data
management solutions focused on large scientific data
• PhD in Biophysics from University of Queensland,
conducting several projects on software platforms,
including one on high-performance computing
Dipl.-Ing. Dr. Kurt Schröder
machine vision and hardware development
• Electrical and communication engineering studies at
the University of Technology in Vienna
• Habilitation in the field of high-power laser technology
• Professor at the Department of Nonconventional
Processing, Forming and Laser Technology (Faculty of
Mechanical Engineering), Vienna University of Technology
• Founder of iiNES - Innovative Engineering Solutions GmbH:
engineering advisory for electrical and mechanical engineering;
handling projects in hardware and software development
focusing on measurement engineering, automation engineering,
embedded systems, audio and video signal processing
Christian Stampf
machine learning and platform development
• Former automotive IT executive
• Deep learning setup and integration
• Web and App development for dashboard and backend
• Behavioral scientist, optimizing engagement metrics
• Long-standing work experience in China and Taiwan,
familiar with local cultural specificities
10. Christian Kronseder
data science
• Professor for data science at FHNW Switzerland, School of Life Sciences
• ETH and Oxford University Alumnus
Alexander Lorz
technology platform
• Founder aiso-lab: consulting enterprises on AI solutions
• PhD in Applied Mathematics, University of Cambridge
• Associate Professor at the Sorbonne and the Pierre and Marie Curie University
• Referee for journals and institutions, e.g. Nature Communications
Michael Schmutz
marketing
• Seasoned marketing and PR executive
• Strong background in marketing of innovative technical products
• Creative Director at Y&R, Wunderman
Advisory board: Broad range of expertise and large network
Alfred Stepan
finance
• Deputy Head of Finance at one of the market leaders in the health care sector
• Specialist in financing R&D infrastructure
Reinhard Stary
strategy
• Insurance top-executive, CEO/CFO/ board member in high-tech companies
• LBS and Columbia University Alumnus
11. Why now?
• Recent technological developments (high-quality camera affordability, increased frame-rates and resolution, faster CPUs,
scalable neural networks for deep learning) enable us to leverage the previously conducted research of the founder
• We own a patent that covers the functionalities and workflows of the product
• Working prototype for dry-eye detection is ready and can be adjusted to application-specific use cases
• Integrating further signals will enable us to add functionalities (e.g. pulse measured via camera filters, voice sentiment via
headsets)
• Trend to VR/AR and gamification is ideal for behavioral data collection (headsets) and combination of signals
• Self-measurement is a growing trend (e.g. fitbit, health apps), brain signals will be a further milestone on the road to the
'quantified self'
• Direct competition is overestimated: consumer(research) applications use eye-tracking to determine gaze direction for
identifying points of interest which is functionally fundamentally different from vision-based attention monitoring outside of
their scope.
12. We look for
• investors, ideally 'smart money', opening doors in relevant use case verticals
• corporates as clients or partners in research projects
• advisory board members with domain expertise or industry network
• grants and non-dilutive funding
• referral partners
ContactHUMANATTENTIONINFOCUS
Dr. Christian Kusmitsch, co-founder
CEO and Chief Neuroscientist
ckusmitsch@mindset-technologies.at
+43 664 511 2955
Vienna, Austria
Aladar Tepelea, co-founder
business development
aladar.tepelea@evitive.net
+41 77 9234 961
Zurich, Switzerland
14. F.A.Q. – Frequently Asked Questions
• How are you different from eye-tracking applications?
For us gaze direction is less relevant, for our machine learning algorithms we use entirely different input variables (e.g. pupil
dilation, facial blood flow)
• Are you exclusively using the eyes for detecting activity / attention levels?
We also use additional signals like facial blood flow and depending on the use case, we can add signals like keystrokes,
(macro-)movement sensor data, voice inputs, etc.
• Why do you need external hardware – could you not just use phone / screen cameras?
In order to detect subtle signals like changes in blinking rate we need equipment which can process these kind of inputs.
At the same time, our calculations require high amounts of processing power. Therefore they should not run on the user’s
device, but on ours, externally (in order not to compromise performance).
Hence, we run on a specialized chipset combined with cloud analytics. This can change in the future as hardware
communication interfaces will advance.
• Are companies like Tobii competition for you?
Their company is focusing on gaze direction and eye-directed AR motion controls with comparatively low-resolution (of time)
cameras.
We use different signals, have different use cases and our partner Viewpoint System has the required hardware to record and
process the high-resolution, highly calculation-intensive data.
15. Deploying best-in-class hardware
View Point System (VPS) is a world-leading eye tracking system, made in Austria which
we use to track verious KPIs related to gaze direction, pupil size and blink frequency
Additionally, VPS 19 enables direct voiceline communication between headset user and experts
16. Our framework for
medical eLearning and
quality management to
reduce human error
through the use of virtual
reality learning
environments.
Project proposal has
been submitted to the
EU grant program
“Fast Track to Innovation“
17. Project architecture for our medical eLearning use case.
Project proposal has been submitted to the EU grant program
“Fast Track to Innovation“.
18. 2nd prio use cases: Clinical risk mitigation / insurance
• Trauma detection where imminent undetected impact is likely
(e.g. after accidents, surgeries, etc.)
Lowering risk for patients and reducing cost (less hospitalization)
through ambulant monitoring in combination with tele-medicine:
continuous supervision of pupils and light reflex reaction possible via
specialized camera and dedicated check-up for indications where
physical trauma has been diagnosed or is likely
• Pupils asymmetry diagnostics (pupil size and reflexes)
allow detection of post-traumatic skull-brain injuries and can be e.g.
effective indicators of bleedings post-surgery and in the healing
period. An effective high-quality monitoring solution supports clinical
work post-treatment.