Srabani Roy Chowdhury (MAKAUT, WB) The introduction of electronic health records has risen the hope of saving time and improving the quality of patient care. But due to fragmented interfaces and hectic procedures involved in data entry, doctors and other medical staff require more time for navigating these systems than interacting with patients. Machine Learning […]
Saptaparna Dasgupta, Bennett University With recent microscopy improvements, cell-size data sets may be generated by capturing cell activity. The Lattice Light Sheet Microscope (LLSM) pictures cells at fast speed and high 3D resolution, collecting data over hours at 100 frames/seconds. The LLSM imaging gave fresh insights into the complicated immune cell surface behaviour, including the […]
Laiba Saleem, Aligarh Muslim University Artificial Intelligence (AI) is not any doubt the core way forward for IT, and together with machine learning and data science it holds significant potential in majority fields, and the medicinal industry is not any stranger thereto. From medical/surgical robotics to microchips containing the anamnesis of patients, AI has come […]
Husna, Amity University Kolkata Diabetes has long been mistaken for being a tame problem with a manageable issue. The most renowned approach in diabetes is to empower experts to create , technologies, algorithms, models and therapies to manage glucose in a definite, controlled condition. Attempts to tackle the issue of diabetes till now are authoritative […]
