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