Title: Medicine and the matrix: Coming around a full circle in next generation healthcare
Speaker: Dr. Tavpritesh Sethi, CSIR Fourth Paradigm Institute
The power of data to drive discoveries in science has been a major
revelation of the past decade. A major revolution is anticipated in
healthcare delivery, consumership and education and I will illustrate
casestudies in Computational Biomedicine taken from my previous work in
this direction. A common theme in these pieces would be the use of
analytics for enabling medical and public health advances. A second
underlying theme would be the discovery and use of approaches which
recapitulate biological principles. This is because analytics is not
enough and the “bridging” crossdisciplinary understanding is necessary.
This immersive understanding which acts a thesaurus for translating
concepts across medical and computational disciplines could be vital for
creating breakthroughs. I would also discuss my current and future
projects and would highlight the potential areas for crossdisciplinary
collaborations especially on the challenging work on forecasting Sepsis,
a major killer in the Pediatric Intensive Care Units.
Dr. Tavpritesh Sethi is a Physician and a Data Scientist at CSIR Fourth
Paradigm Institute's Biomedical Unit situated at Institute of Genomics
and Integrative Biology (IGIB), Delhi. While finishing medical school he
developed a deep interest in complex physiology of health and its
derangement in diseases. This was the overarching theme of his Ph.D.
work at IGIB. Working at the interface of Medicine, computer science and
genomics he addressed the physiology of lungs and autonomic function.
His work continues to have a strong focus on translating theoretical
understanding into enabling technologies and he developed a novel
exquisitely sensitive marker of small airway diseases such as asthma for
which was one of the winning entries in MITIndia Young Innovator Award,
2013. This technology is now planned to be integrated into a handheld
device for clinical and research use. Although he spends most of his
time in data analytics, he maintains his clinical roots and works
closely with the All India Institute of Medical Sciences (AIIMS). He was
recently awarded the Wellcome Trust India Alliance Fellowship for
joining AIIMS and leading a project on clinical decision support using
Big Data for Intensive Care Units. He has planned to intensively
collaborate with IITDelhi and Stanford School of Medicine for this work.
His other current line of work is in integrative analysis of
multi-dimensional public health data and he is enthusiastic about
disruptive education in Medical and Public Health disciplines.