A body of healthcare AI research connects data infrastructure, machine learning, and natural language processing across medical applications.
Routine water quality monitoring already generates large volumes of physicochemical data – turbidity, temperature, dissolved oxygen – but converting that into an early warning for microbial ...
Effect of KROS 101, a small molecule GITR ligand agonist, on T effector cells, T reg cells and intratumoral CD8 T cell cytotoxicity. Phase 1 study of DK210 (EGFR), a tumor-targeted IL2 x IL10 dual ...
Safe drinking water depends not only on treatment, but also on knowing when harmful microorganisms may be present in source ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI. A new “periodic table for machine learning” is reshaping how researchers explore AI, unlocking ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
Acoustic analysis of patient-clinician conversations offers a noninvasive way to screen for undiagnosed cognitive impairment in older adults.
The PG Level Advanced Certification Programme in Applied Data Science & Machine Learning is a collaboration between IITM ...
Plant resilience research increasingly examines how plants adapt to interacting abiotic and biotic stresses in changing environments. Climate change is ...
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