Insilico Medicine to present on recent advances in AI at BioData World in Cambridge

October 18, 2016

Tuesday, 18th of October, Baltimore, MD - Insilico Medicine, Inc to present on the recent advances in applying the deep learning techniques to biomarker development and drug discovery at the BioData World Congress in Cambridge, UK. Jane Schastnaya, a research scientist at Insilico Medicine, will give a presentation on October 27th in the "Genomics personalized medicine and biomarkers" track.

The presentation titled "Actionable biomarkers of aging and disease trained on biochemistry and transcriptomics data" will cover the applications of deep learning techniques to large repositories of biomedical data and creating multi-modal biomarkers and predictors of therapeutic use of the drugs for high-throughput screening, deep-learned predictor of human age trained on human blood biochemistry and transcriptomics data. It will also cover the new method for deriving the importance of the features in deep networks soon to be published in a peer-reviewed journal.

"BioData World is one of the world's top conferences on bioinformatics bridging academia and industry, and I am very thankful to the organizers and our company for the opportunity to present our research at such a high-profile event. Insilico Medicine is clearly one of the leaders in the field with several "industry firsts" and events like BioData World allow us to find new challenges and sources of data that rapidly result in valuable research results. I will be presenting our work on applying deep learning techniques to estimating the chronological age of the patient using very simple blood tests as well as the comprehensive gene expression data. These biomarkers of aging are likely to be indicative of the overall health status and can be combined with the biomarkers of age-related diseases and used to improve clinical trials enrollment practices", said Jane Schastnaya, a research scientist at Insilico Medicine.

Sr. research scientist, pharmaceutical artificial intelligence (http://www.Pharma.AI) division will help with the Q&A and facilitate the discussion on applying the deep learning techniques to biomarker development and combining deep reinforcement learning and generative adversarial networks for drug discovery and establish collaborations with the top industry and academic thought leaders attending the conference.

"Many of the advances that brought fame and recognition to the deep learning approaches were made using the imaging and text data and new discoveries are published every day. However, the adoption of these advances for drug discovery and biomarker development has been very slow, because these require domain expertise in many areas, vast amounts of data and biologically-relevant validation. At Insilico we have a very strong ecosystem which allows us to solve complex problems ranging from biomarker development to precision drug discovery to aging research. We are very happy to take part in the BioData World conference to meet some of the world's top thought leaders and present our work", said Poly Mamoshina, sr. research scientist at Insilico Medicine.
-end-
About BioData World Congress

BioData World Congress is the world's leading event for individuals working with Big Data in precision medicine. The BioData World Congress UK partnered with the worlds of leading organizations: EMBL EBI, Genomics England, Sanger Institute and many others. The event will showcase innovation, demonstrate success and break through the obstacles and barriers to ensure that the innovations in genomics and big data enter the clinic with speed and efficiency. It will aim to make the dream of stratified medicine a reality. With hundreds of delegates from all over the world and thought leaders from the top academic, industry and governmental organizations, BioData World Congress is one of the main international events on data-driven personalized medicine. Website: http://www.healthnetworkcommunications.com/conference/biodatA/index.stm

About Insilico Medicine

Insilico Medicine, Inc. is a bioinformatics company located at the Emerging Technology Centers at the Johns Hopkins University Eastern campus in Baltimore with R&D resources in Belgium, Russia and Poland hiring talent through hackathons and competitions. It utilizes advances in genomics, big data analysis and deep learning for in silico drug discovery and drug repurposing for aging and age-related diseases. The company pursues internal drug discovery programs in cancer, Parkinson's, Alzheimer's, sarcopenia and geroprotector discovery. Through its Pharma.AI division the company provides advanced machine learning services to biotechnology, pharmaceutical and skin care companies. Brief company video: https://www.youtube.com/watch?v=l62jlwgL3v8

InSilico Medicine, Inc.

Related Aging Articles from Brightsurf:

Surprises in 'active' aging
Aging is a process that affects not only living beings.

Aging-US: 'From Causes of Aging to Death from COVID-19' by Mikhail V. Blagosklonny
Aging-US recently published ''From Causes of Aging to Death from COVID-19'' by Blagosklonny et al. which reported that COVID-19 is not deadly early in life, but mortality increases exponentially with age - which is the strongest predictor of mortality.

Understanding the effect of aging on the genome
EPFL scientists have measured the molecular footprint that aging leaves on various mouse and human tissues.

Muscle aging: Stronger for longer
With life expectancy increasing, age-related diseases are also on the rise, including sarcopenia, the loss of muscle mass due to aging.

Aging memories may not be 'worse, 'just 'different'
A study from the Department of Psychological & Brain Sciences in Arts & Sciences adds nuance to the idea that an aging memory is a poor one and finds a potential correlation between the way people process the boundaries of events and episodic memory.

A new biomarker for the aging brain
Researchers at the RIKEN Center for Biosystems Dynamics Research (BDR) in Japan have identified changes in the aging brain related to blood circulation.

Scientists invented an aging vaccine
A new way to prevent autoimmune diseases associated with aging like atherosclerosis, Alzheimer's disease, and Parkinson's disease was described in the article.

The first roadmap for ovarian aging
Infertility likely stems from age-related decline of the ovaries, but the molecular mechanisms that lead to this decline have been unclear.

Researchers discover new cause of cell aging
New research from the USC Viterbi School of Engineering could be key to our understanding of how the aging process works.

Deep Aging Clocks: The emergence of AI-based biomarkers of aging and longevity
The advent of deep biomarkers of aging, longevity and mortality presents a range of non-obvious applications.

Read More: Aging News and Aging Current Events
Brightsurf.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.