ABOUT COMPANY

Sequoia Insilico is a cognitive healthcare company founded on the principles of cognitive computing systems. In complex situations where the solutions may be ambiguous and uncertain, cognitive computing uses computerised models to simulate the human thought process and act independently. Cognitive computing systems aid in knowledge expansion increased productivity and increased levels of expertise by understanding, reasoning, and learning on their own.

SIPL's AI architecture connects all value points of care with its tools, which are embedded in deep learning systems and have been validated to a "diagnosis" accuracy while adhering to legal and ethical compliance protocols. We have interoperable, independent platforms for specific disease management that can be integrated with the existing care delivery system The proprietary AI systems are adaptive, interactive, and contextual, processing data from multiple sources to gain knowledge, assisting clinicians, saving time, and improving treatment efficacy.

The focus of healthcare is shifting from treatment to prevention. Healthcare data is powering a remarkable shift from healthcare to health, from treatment to prevention. Cognitive systems in health will soon make global access to health care more affordable, quick, and dependable, while also empowering patients to self-care.

The P4 components of care can be implemented by the cognitive health system: preventive, predictive, personalised, and participatory.

Mission

WHO WE ARE WHAT WE DO

To assist patients in obtaining individualized, patient-centered, continuous, and affordable health care. To provide clinicians and health care experts with actionable information and improved treatment efficacy, saving valuable time and increasing satisfaction.

Vision

WHAT WE ASPIRE TO DO

Our vision is to develop a venture which successfully implements P4 components in all aspects of healthcare, enhancing accuracy and precision, to ensure better treatment outcome. We aim to augment health in health care.

Awards

LifeBack® won the GRAND Challenge EXploration (GCE) - India award jointly funded by BMGF and BIRAC, DST, GOI.

LifeBack® won one of the most promising venture by DBT, GOI.

Meet Our Team

Anupama Singh (PhD)

A PhD in Bioinformatics, JNU, entrepreneur, researcher, fund raiser, business developer, mental health advocate and believes that health care should be accessible to all at affordable cost beyond physical boundaries

Harsh Bhasin (PhD)

Harsh Bhasin is currently associated with Manav Rachna University. He has published more than 40 papers in various journals including Alzheimer’s and Dementia, and BMC Medical Informatics, and conferences including BIBE. He has authored more than 11 books including those published by Oxford University Press, and BPB. He has worked as a Deep Learning consultant for various firms and taught in various Universities including Jamia Hamdard and DTU. His areas of expertise include Deep learning, Algorithms, and Medical Imaging.

Vishal Deshwal

A Ph.D. student (Adaptive event sampling and Machine learning) at the International Centre for Neuromorphic Systems, MARCS Institute, Western Sydney University, developing methods & tools to improve feature extraction and deep learning techniques by using thresholding-based periodic activation functions. Master of Data Science from Western Sydney University. Apart from the ongoing Ph.D. Vishal, works avidly to use mathematical and coding skills to develop concepts for impactful medical applications.

Shivam Prajapati

Master’s in computational mathematics (JNU), Researcher, Avid learner of Machine Learning Application.