As AI Collapses Drug Discovery Timelines, Will India Follow China’s Lead?
11/12/2025
9:00 am
Indian tech and biotech leaders warn the country risks falling behind.
Indian tech and biotech leaders warn the country risks falling behind.
Early risk detection with AI helps employees stay healthy and manage healthcare expenses
The funding will fuel Zealthix’s expansion and technology enhancements aimed at digitising India’s healthcare ecosystem.
While foundation models may boost experimentation, healthcare demands deterministic, auditable and compliant systems before they can be trusted in production.
Federated learning uses organised medical knowledge and synthetic data to unify diverse datasets, enhancing patient care nationwide.
Healthcare’s GenAI future demands caution over speed, with accuracy, privacy, and regulation guiding its adoption.
This will fuel product expansion, strengthen the sales network, and extend its presence across U.S. healthcare and life sciences.
The companies are teaming up to bring AI-powered, value-based care models to health plans
These models can interpret complex medical data, genomic sequences, and cellular interactions, making AI a powerful tool in predictive medicine.
Cloudphysician recently raised $10.5 million in a funding round led by PeakXV Partners.
Providence India has made significant strides in promoting gender diversity, with women comprising 38% of its
workforce.
A joint working committee from both organisations will oversee the collaboration, focusing on clinical research and academic engagement.
“As many as 91% of the respondents believe that GenAI will significantly boost employee productivity, and 82% see enhanced customer experiences through GenAI integration,” said the Technology Holdings panel while speaking at Cypher 2024, India’s biggest AI conference organised by AIM Media House.
“At Google, we’re not just building AI but shaping a future where AI benefits everyone,” said Dr. Manish Gupta.
In an exclusive interaction with AIM, the company revealed that the company plans to launch a series of models focussed on healthcare in the coming months.
Elsevier’s study which surveyed nearly 3,000 people globally working in research and healthcare shows that while 95% believe that it is a great source of knowledge, 87% think that using genAI tools can improve work quality.
As part of the collaboration, Yotta will set up a preview lab and a dedicated GPU POD for Partex, allowing it to offer its solutions to customers worldwide.
Apollo will tap into Google’s AI capabilities to improve early disease detection, especially for tuberculosis (TB), lung cancer, and breast cancer.
The main goal of Evo is to address the challenges of modeling entire genomes, given their long length and the intricate changes happening at the level of individual building blocks, or nucleotides.
“There are 8 million people in the world who die every single year because of tobacco use,” said Jonathan Bricker.
Oracle Corp. introduces healthcare innovations, including cloud-based EHR, generative AI, and public APIs, to streamline patient care and provider efficiency.
With the ability to process vast amounts of data in parallel, quantum computing opens up new horizons for simulating intricate biological systems, optimising drug candidates, and predicting molecular interactions with unparalleled precision.
Clinicians express preference for Med-PaLM M reports on chest X-rays over those produced by radiologists in up to 40.50% of cases
After OpenAI’s ChatGPT recently cleared all three parts of the USMLE in a single go, as per the results of a new experiment, San Francisco-based medical knowledge management platform, Glass Health recently launched Glass AI, an LLM-based tool capable of generating a diagnosis or clinical plan based on symptoms. The tool
MedPaLM consists of six existing open-question answering datasets along with a new one called HealthSearchQA.
Zini.ai was shortlisted from a cohort of 15 startups that were further shortlisted from more than 150 companies across the country.
Healthcare is under the microscope this year like never before. Hospitals are being asked to do more with less, and researchers are working around the clock to answer pressing questions. NVIDIA’s GPU Technology Conference brings everything you need to know about the future of AI and HPC in healthcare together
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