The document summarizes research on neural engineering related to cochlear implants and intracortical microelectrodes. It discusses:
1) Cochlear implant research involving developing a method to fit implants using stapedius electromyography recordings in rats.
2) Chronic neural interfacing research using intracortical microelectrodes to record brain activity, the challenges of long-term recordings due to tissue encapsulation, and methods explored to address this like enzyme-aided electrode insertion.
3) The quantification of recording performance over time and correlations with electrode impedance.
Role of artificial intellegence (a.i) in radiology department nitish virmaniNitish Virmani
Machine Learning and Deep Learning is the key to Artificial Intelligence. Future of Radiology with Artificial Intelligence and advancements of Radiology Equipments
https://www.snmclub.com/presentation
PET/MRI Current & Future Status
DALE BAILEY PhD , Principal Physicist
Departement of Nuclear Medicine, Royal North Shore Hospital
Professor in Medical Radiation Sciences, University of Sydney
Sydney, Australia
icrm2018
Artificial intelligence, such as neural networks, deep learning and predictive analytics, has the potential to transform radiology, by enhancing the productivity of radiologists and helping them to make better diagnoses. This short report from Signify Research presents 5 reasons why artificial intelligence will increasingly be used in radiology in the coming years and concludes with a list of the barriers that will first need to be overcome before mainstream adoption will occur.
Role of artificial intellegence (a.i) in radiology department nitish virmaniNitish Virmani
Machine Learning and Deep Learning is the key to Artificial Intelligence. Future of Radiology with Artificial Intelligence and advancements of Radiology Equipments
https://www.snmclub.com/presentation
PET/MRI Current & Future Status
DALE BAILEY PhD , Principal Physicist
Departement of Nuclear Medicine, Royal North Shore Hospital
Professor in Medical Radiation Sciences, University of Sydney
Sydney, Australia
icrm2018
Artificial intelligence, such as neural networks, deep learning and predictive analytics, has the potential to transform radiology, by enhancing the productivity of radiologists and helping them to make better diagnoses. This short report from Signify Research presents 5 reasons why artificial intelligence will increasingly be used in radiology in the coming years and concludes with a list of the barriers that will first need to be overcome before mainstream adoption will occur.
Track 6. Technological innovations in biomedical training and practice
Authors: Jesús M Gonçalves, M J Sanchez-Ledesma, P Ruisoto, M Jaramillo, J J Jimenez and J A Juanes
Skull base tumors & perineural spread radiology pptDr pradeep Kumar
Skull base tumors & perineural spread radiology ppt This powerpoint presentation includes important anatomy and important pathology of skull base lesion with its imaging feature as well as its ct mri image. This will help alot. this will help for radiology resident as well as ent .
A Novel Approach for Measuring Electrical Impedance Tomography for Local Tiss...CSCJournals
This paper proposes a novel approach for measuring Electrical Impedance Tomography (EIT) of a living tissue in a human body. EIT is a non-invasive technique to measure two or three-dimensional impedance for medical diagnosis involving several diseases. To measure the impedance value electrodes are connected to the skin of the patient and an image of the conductivity or permittivity of living tissue is deduced from surface electrodes. The determination of local impedance parameters can be carried out using an equivalent circuit model. However, the estimation of inner tissue impedance distribution using impedance measurements on a global tissue from various directions is an inverse problem. Hence it is necessary to solve the inverse problem of calculating mathematical values for current and potential from conducting surfaces. This paper proposes a novel algorithm that can be successfully used for estimating parameters. The proposed novel hybrid model is a combination of an artificial intelligence based gradient free optimization technique and numerical integration. This ameliorates the achievement of spatial resolution of equivalent circuit model to the closest accuracy. We address the issue of initial parameter estimation and spatial resolution accuracy of an electrode structure by using an arrangement called “divided electrode” for measurement of bio-impedance in a cross section of a local tissue.
Track 6. Technological innovations in biomedical training and practice
Authors: Jesús M Gonçalves, M J Sanchez-Ledesma, P Ruisoto, M Jaramillo, J J Jimenez and J A Juanes
Skull base tumors & perineural spread radiology pptDr pradeep Kumar
Skull base tumors & perineural spread radiology ppt This powerpoint presentation includes important anatomy and important pathology of skull base lesion with its imaging feature as well as its ct mri image. This will help alot. this will help for radiology resident as well as ent .
A Novel Approach for Measuring Electrical Impedance Tomography for Local Tiss...CSCJournals
This paper proposes a novel approach for measuring Electrical Impedance Tomography (EIT) of a living tissue in a human body. EIT is a non-invasive technique to measure two or three-dimensional impedance for medical diagnosis involving several diseases. To measure the impedance value electrodes are connected to the skin of the patient and an image of the conductivity or permittivity of living tissue is deduced from surface electrodes. The determination of local impedance parameters can be carried out using an equivalent circuit model. However, the estimation of inner tissue impedance distribution using impedance measurements on a global tissue from various directions is an inverse problem. Hence it is necessary to solve the inverse problem of calculating mathematical values for current and potential from conducting surfaces. This paper proposes a novel algorithm that can be successfully used for estimating parameters. The proposed novel hybrid model is a combination of an artificial intelligence based gradient free optimization technique and numerical integration. This ameliorates the achievement of spatial resolution of equivalent circuit model to the closest accuracy. We address the issue of initial parameter estimation and spatial resolution accuracy of an electrode structure by using an arrangement called “divided electrode” for measurement of bio-impedance in a cross section of a local tissue.
Electrophysiological imaging for advanced pharmacological screening3Brain AG
We at 3Brain are committed to advancing scientific research and boosting drug discovery. Like our technology, our product lines are always evolving to accommodate high-resolution recording of in vitro cultures. Discover our HD-MEA technology and soon-to-be-released devices and see how they are furthering research in brain diseases, drug discovery, retinal organoids, etc..
For more information, visit our website at https://www.3brain.com
Article Review on Simultanoeus Optical Stimulation and Electrical Recording f...Md Kafiul Islam
This is a comprehensive review of article titled "Integrated device for combined optical neuromodulation and electrical recording for chronic in vivo applications" by Wang et al. 2012, appeared in JNE. The presentation was made during my Comprehensive Qualifying Examination (CQE) back in Jan, 2013
Marom Bikson speaks at the BrainSTIM2015 - Targeting transcranial Electrical Stimulation (tES) using EEG. Includes how to use EEG to inform transcranial Direct Current Stimulation (tDCS) montages. And critical pitfalls in concurrent recording. Stay tuned for our upcoming paper on reciprocity.
The complete video can be found here: https://www.youtube.com/watch?v=yYmDQB7qSCE
The first publication on the topic can be found here http://neuralengr.com/wp-content/uploads/2016/05/2016-Cancelli-A-simple-method.pdf
Related technology can be found here http://soterixmedical.com/research/monitoring/eeg
This is the presentation based on our propsal of the same name. The presenters were Laura Pawlikowski, John Montoya, Ken Seal, and myself. We discuss functionalizing an AFM tip with antibodies for protein detection and discuss several possible uses for such a device. Conceptually, proteins bound to DNA can be flowed down a nanochannel and can be detected by an AFM tip in the channel. The detection will be based on the interaction between antibodies and their antigens (the proteins).
The generation of an action potential in heart muscle
cells depends on the opening and closing of ionselective channels in the plasma membrane.
The patch-clamp technique enables the investigation of
drug interactions with ion-channel .
The Isolated cells are ready for experiment.
Glass micro-pipette - a tip opening of about 1 μm, is
placed onto the cell
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
1. Neural Engineering: Cochlear Implants and Intracortical Microelectrodes Ryan S. Clement, PhD Assistant Professor Department of Bioengineering The Pennsylvania State University November 21, 2008 Western New England College
13. The End Goal: Clinical Application Surgical view during human cochlear implant Dynamic modulation of stimulus level Cochlea Cochlear Implant Electrode Array Stapes Stapedius Muscle
22. Chronic Recording Performance R17 Days Post Implant Average Electrode Impedance R16 R12 Number of Electrodes with Units > 100µV R17 R16 R12 Electrode Channel ( : channel with units >100µV)
23.
24.
25.
26. Electrode Assembly and Implant 1 2 Electrode Jig Microwire soldered into connector 3 Sterilization 4 Implantation
29. Amplification/filtering, A/D conversion, digital filtering analyzed electrode Experimental Overview: Signal Processing Correlation Algorithm Mean Spike (T-PCA: Threshold+PCA ) Mean Spike (T:Threshold Only) Mean Spike (Corr) *** Mean Spike (Corr-PCA) ** Principal Component Analysis Principal Component Analysis Spike Detection * 130 0 65 Time (ms) -60 -80 40 40 3 0 Time (ms) Voltage ( V) Voltage ( V) Voltage ( V) E1 E2 E3 E4 Spike on E3 Segments on other electrodes Model-based analysis of cortical recording with silicon Microelectrodes (Michael A. Moffitt, Cameron C. McIntyre*)
45. Polymer-based Probes Polyimide Probes Active Groups : Arizona State University University of Illinois at Chicago University of Michigan Parylene Probes (D. Kipke) (D. Kipke) Benzocyclobutene (BCB) Probes Increased flexibility to allow better mechanical impedance matching with brain tissues goal: reduce micromotion Conflicting mechanical requirements! Need to be stiff for insertion but flexible afterward.
46. Magnification:49000X SS = Subarachnoid Space PLC = Pial Cells UCF = Unit Collagen Fibrils CNS = Central Nervous System Main Structural Barrier – Pia Mater
47. Set-up Paralikar and Clement. IEEE Trans Biomed Eng, 2008 Stepper Motor Manipulator Load Cell Amplifier Microwire Array
52. Acknowledgements Funding : Whitaker Foundation, Penn State Department of Bioengineering, Grace-Woodward Grant, NIH NIDCD R21DC007227 Undergraduate Students : Jonathan Lawrence Sudharshana Seshadri Natasha Tirko Kirstin Tawse Jeremy White Oneximo Gonzales Sarah Pekny Matt Pollins Priyanka Basak Neel Gowdar *** The PSU Animal Resource Program Personnel Graduate Students : Kunal Paralikar (BioE) Lavanya Krishnan (BioE) Timothy Gilmour (EE) Chinmay Rao (EE) Dan Gilbert (BioE) Joy Matsui (BioE) Collaborators : Roger Gaumond (BioE) Andrew Webb (BioE) Thomas Neuberger (BioE) Jon Isaacson (Hershey) Alistair Barber (Hershey)
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