Download TechShotsApp


App Store


Google Play

Tag: healthtech (page 1 of 1)

Former Google CEO Eric Schmidt donates $150 mn for research in biology, AI

Former Google CEO Eric Schmidt and his wife, Wendy, have donated $150 mn to Massachusetts-based Broad Institute of MIT and Harvard to establish a “new era of biology” to curse diseases using a mix of data and life science studies. The donation will be used to build a new centre to bring together academia and industry to merge tech and biology for a healthier world. The institute also received an additional $150 mn contribution from the Broad Foundation.

Click here to read the full story

Innovaccer enters unicorn club with $1.3 bn valuation

Healthcare tech startup Innovaccer has raised $105 mn at a valuation of $1.3bn, in a round led by Tiger Global Management. Steadview Capital, Dragoneer, B Capital Group, Mubadala Capital and Microsoft’s venture fund arm M12 were also part of the round. The company has raised $225 mn so far. Innovaccer’s SaaS platform provides unified patient records, connect healthcare data across multiple systems and settings.

Click here to read the full story

Chatbot-based AI health apps cannot replace in-person medical assistance: study

Not everything that is going digital can replace its traditional forms. One such sector is healthcare. While millions of people turn to chatbot-based health apps for healthcare assistance, researchers reveal that existing apps lack the functions to support the full diagnostics process. These chatbot-based symptom check do not support conducting physical exams, providing a final diagnosis, and analysing test results.

Click here to read the full story

4 Deep-tech areas transforming the healthcare industry

1. Blockchain – largely being used in supply chain management and automation. 2. Quantum Computing – turns zeta bytes of data into info, helping in genomics and gene therapy. 3. AR, VR – helps medical students in learning; doctors/physicians can carry out accurate diagnosis, AR-enabled medical records etc. 4. ML, NLP – used to read reports, generate outputs enabling doctors to focus on decision-making rather than manually going through reports.  

Click here to read the full story