Our recent efforts in the use of machine learning is applicable to drug discovery and process (such as catalytic reactions) related to efficient generation of such potentially active compounds.
We would like to use a combination of density functional theory computations to accelerate the process of identifying lead compounds.
Non-invasive and minimally-invasive devices for health monitoring, diagnosis an biotelemetry in portable, wearable and implantable applications with support features based on IoT; Team has demonstrated a full working prototype using in-house designed ASICs (application specific integrated circuits) with artifact-tolerant signal conditioning and record noise efficiency factor for multi-parameter multi-channel for both monitoring and pre-diagnosis purposes with MedRadio biotelemetry; working on the development of several size-reduced, indigenous and improved measurement devices used in the clinics by the doctors; Also works on machine learning based techniques for pre-diagnosis applications