How hands-on coursework, industry experience, and community prepared APAN graduates to lead in data-driven roles.

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

Chandigarh University with its world-class, high-tech academic infrastructure has been integrating the latest industry practices and requirements into academic programs by fostering innovation in ...

AI in pharma has the potential to overhaul drug discovery, clinical trials, manufacturing, and marketing by analysing vast datasets to speed up processes, reduce costs, and enable personalised ...

Students encouraged to use technology and enhance skills at a hackathon, aiming to improve quality of life and future ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

Top AI graduate programs at schools like Carnegie Mellon and Stanford are feeding a field where salaries average over ...

Key market opportunities include the adoption of automated sample preparation systems driven by the need for reproducibility and error reduction. High R&D investments by pharma companies for faster ...

Black Mesa announces funding from the Advanced Research Projects Agency for Health (ARPA-H) to develop a Good AI ...

Eli Lilly will invest $3.5 billion in a Pennsylvania facility for injectable weight-loss medicines, creating 850 new jobs and starting by 2031.

Tau protein aggregation is a shared feature in over 20 neurodegenerative diseases (collectively referred to as "tauopathies"). New research led by Boston Children's Hospital challenges the current ...

The fusion of biophotonics and AI is transforming healthcare, enhancing diagnostics and treatment with advanced light-based ...