Personalizing medical treatments based on ambient information: towards intero...Rémi Bastide
Slides for my invited talk at UPCP'2013, the second Up Close and Personalized Congress.
Paris 25-28 July 2013, Paris, France
http://www.upcp.org/
Big Data refers to the new technical ability to digitally record, transmit and process massive amounts of digital data. Data mining technologies offer the possibility to extract meaningful knowledge from this data, through the analysis of statistical correlations.
Medicine has recently entered the realms of Personalization and Prediction: treatments become personalized to fit the patient's profile, and Prediction allows forecasting the likeliness of future health condition. Personalization and Prediction are based on patients and statistical medical data, coming from various sources: Electronic Health Records, Historical records of healthcare reimbursement, Genomics, Social media, Sensors and biosensors
Research and Industry are fueling a constant flow of innovation in this last field: Connected Health devices (including monitoring of Activities of Daily Life), smart clothing, implanted or ingestible sensors are increasingly being used to gather information about the patient’s health status or life habits. This innovation provides new sources of data essential to Personalized Medicine. In particular, this offers a brand new opportunity to correlate information gathered by these new sensors with the clinical information that is commonly gathered in clinical trials. For instance it is quite realistic to imagine a clinical trial performed at the patient’s home, where drug taking is precisely monitored by sensors in ingestible pills, while the drug’s clinical effects are correlated with constant monitoring of medical indicators such as blood pressure or heart rate, as well as with the performance of daily life activities such as eating, exercising, resting, sleeping, toilet use... This opens a new realm of opportunities in the design and analysis of clinical trials.
Personalizing medical treatments based on ambient information: towards intero...Rémi Bastide
Slides for my invited talk at UPCP'2013, the second Up Close and Personalized Congress.
Paris 25-28 July 2013, Paris, France
http://www.upcp.org/
Big Data refers to the new technical ability to digitally record, transmit and process massive amounts of digital data. Data mining technologies offer the possibility to extract meaningful knowledge from this data, through the analysis of statistical correlations.
Medicine has recently entered the realms of Personalization and Prediction: treatments become personalized to fit the patient's profile, and Prediction allows forecasting the likeliness of future health condition. Personalization and Prediction are based on patients and statistical medical data, coming from various sources: Electronic Health Records, Historical records of healthcare reimbursement, Genomics, Social media, Sensors and biosensors
Research and Industry are fueling a constant flow of innovation in this last field: Connected Health devices (including monitoring of Activities of Daily Life), smart clothing, implanted or ingestible sensors are increasingly being used to gather information about the patient’s health status or life habits. This innovation provides new sources of data essential to Personalized Medicine. In particular, this offers a brand new opportunity to correlate information gathered by these new sensors with the clinical information that is commonly gathered in clinical trials. For instance it is quite realistic to imagine a clinical trial performed at the patient’s home, where drug taking is precisely monitored by sensors in ingestible pills, while the drug’s clinical effects are correlated with constant monitoring of medical indicators such as blood pressure or heart rate, as well as with the performance of daily life activities such as eating, exercising, resting, sleeping, toilet use... This opens a new realm of opportunities in the design and analysis of clinical trials.
Artificial Intelligence, Machine Learning and Deep LearningSujit Pal
Slides for talk Abhishek Sharma and I gave at the Gennovation tech talks (https://gennovationtalks.com/) at Genesis. The talk was part of outreach for the Deep Learning Enthusiasts meetup group at San Francisco. My part of the talk is covered from slides 19-34.
Dictionary based Annotation at Scale with Spark, SolrTextTagger and OpenNLPSujit Pal
Presented at Spark Summit EU 2015 at Amsterdam. Details the SoDA project, a micro-service accessible via Spark for naive annotation of large volumes of text against very large lexicons.
Presentation given at the Garage Start Digital Health Startup Workshop sponsored by ABRT Venture Capital. Content focuses on the healthtech investment landscape.
The Future of Transparency: Five Pillars for Global Successpharmacertify
In this webcast, PharmaCertify™, a division of NXLevel Solutions, teams with Berkeley Research Group to share practical approaches to help you navigate the complexities of US and global transparency reporting. You will get concrete, actionable advice on how your company can stay on top of global transparency challenges and:
- Ensure that your transparency processes are scalable and aligned to business practices
- Be prepared for mergers and integrations
- Boost the effectiveness of your data review process
- Manage TOV pre-disclosure
- Maximize your communication and education efforts
Speakers:
Pete Sandford, EVP, NXLevel Solutions
Mr. Sandford is the Executive Vice President and co-founder of NXLevel Solutions. He is a highly-regarded leader in the life sciences training industry and his experience in the field dates back nearly 25 years. Peter has been published in a number of industry journals and he has spoken extensively on the topic of effective and engaging training for the life sciences industry.
Katherine Norris, Director, Berkeley Research Group
Ms. Norris supports life sciences companies in a broad range of strategic and operation compliance objectives. As an industry professional, Ms. Norris has developed and overseen all aspects of compliance programs, including CIA implementation, global and domestic Aggregate Spend, HCP interactions, clinical post-market surveillance and general compliance.
10 Best Locations for Lifesciences Jobs in the World | The Lifesciences MagazineThe Lifesciences Magazine
Demand for life science specialists with expertise in multiple worldwide markets is rising as the globalization of the sector continues and the need for novel medical solutions skyrockets.
Mercer Capital's Value Focus: Laboratory Services | Mid-Year 2015Mercer Capital
Mercer Capital's Laboratory Services Industry newsletter provides perspective on valuation issues. Each newsletter also includes a macroeconomic trends, industry trends, and guideline public company metrics.
Artificial Intelligence, Machine Learning and Deep LearningSujit Pal
Slides for talk Abhishek Sharma and I gave at the Gennovation tech talks (https://gennovationtalks.com/) at Genesis. The talk was part of outreach for the Deep Learning Enthusiasts meetup group at San Francisco. My part of the talk is covered from slides 19-34.
Dictionary based Annotation at Scale with Spark, SolrTextTagger and OpenNLPSujit Pal
Presented at Spark Summit EU 2015 at Amsterdam. Details the SoDA project, a micro-service accessible via Spark for naive annotation of large volumes of text against very large lexicons.
Presentation given at the Garage Start Digital Health Startup Workshop sponsored by ABRT Venture Capital. Content focuses on the healthtech investment landscape.
The Future of Transparency: Five Pillars for Global Successpharmacertify
In this webcast, PharmaCertify™, a division of NXLevel Solutions, teams with Berkeley Research Group to share practical approaches to help you navigate the complexities of US and global transparency reporting. You will get concrete, actionable advice on how your company can stay on top of global transparency challenges and:
- Ensure that your transparency processes are scalable and aligned to business practices
- Be prepared for mergers and integrations
- Boost the effectiveness of your data review process
- Manage TOV pre-disclosure
- Maximize your communication and education efforts
Speakers:
Pete Sandford, EVP, NXLevel Solutions
Mr. Sandford is the Executive Vice President and co-founder of NXLevel Solutions. He is a highly-regarded leader in the life sciences training industry and his experience in the field dates back nearly 25 years. Peter has been published in a number of industry journals and he has spoken extensively on the topic of effective and engaging training for the life sciences industry.
Katherine Norris, Director, Berkeley Research Group
Ms. Norris supports life sciences companies in a broad range of strategic and operation compliance objectives. As an industry professional, Ms. Norris has developed and overseen all aspects of compliance programs, including CIA implementation, global and domestic Aggregate Spend, HCP interactions, clinical post-market surveillance and general compliance.
10 Best Locations for Lifesciences Jobs in the World | The Lifesciences MagazineThe Lifesciences Magazine
Demand for life science specialists with expertise in multiple worldwide markets is rising as the globalization of the sector continues and the need for novel medical solutions skyrockets.
Mercer Capital's Value Focus: Laboratory Services | Mid-Year 2015Mercer Capital
Mercer Capital's Laboratory Services Industry newsletter provides perspective on valuation issues. Each newsletter also includes a macroeconomic trends, industry trends, and guideline public company metrics.
Dario™ is a platform that combines an all-in-one, blood glucose meter, smart phone application (iOS & Android), website application and treatment tools to support more proactive and better informed decisions by patients, doctors and healthcare systems. The stylish and compact self-monitoring system combines a lancet to obtain a blood sample, a proprietary disposable test strip cartridge and a smartphone-driven glucose meter.
