Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Overview: The global Artificial Intelligence (AI) in drug discovery market is projected to grow at a rate of 25-30% over the ...

Institutions like Chitkara University are upgrading their programmes to meet industry demands, focusing on hands-on experience and collaboration ...

Copyright 2026 The Press Democrat. All rights reserved. The use of any content on this website for the purpose of training artificial intelligence systems, algorithms, machine learning models, text ...

Biointron, an antibody contract research organization, launched a new developability platform that helps drug developers identify manufacturing problems early, potentially saving millions by catching ...

Payments infrastructure is not a static system. It is a living network of interdependencies — between liquidity pools, ...

The most transformative shift, however, is taking place on the recruiter side. Info Edge is building agent-led hiring ...

This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...

Overview By closely mimicking atom behavior, quantum processors offer the exact simulation needed to discover and design ...

In his keynote address, Prof. Sastry emphasized that AI is dramatically accelerating drug discovery timelines, reducing costs, and enabling precision-driven research outcomes.

Quantum computing is widely expected to disrupt modern cryptography. Many of today’s encryption systems rely on mathematical ...