Oncology projects currently take up about 40% of Pfizer’s overall R&D budget. | After steering positive key pivotal readouts for a trio of Novartis’ blockbusters, Jeff Legos is now tasked with ...

Stop hardcoding every edge case; instead, build a robust design system and let a fine-tuned LLM handle the runtime layout ...

On International Women’s Day, Jyotsna Dash Nanda highlights why stronger female representation in economics is crucial to ...

Thrustworks Dynetics is a Pune-based propulsion company that designs and develops liquid rocket propulsion systems and subsystems for commercialisation ...

Agentic AI could reshape drug development. In this interview, Dr. Claudio D’Ambrosio discusses how agentic AI can identify novel drug compounds, improve trial design, and reduce operational ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

Leela Barham takes stock of past NICE decisions for combinations to explore the scale of the reimbursement challenge for combination therapies. Combination therapies are now common in therapy areas ...

The Joint Entrance Examination (JEE) Main 2026 is one of the most competitive engineering entrance exams in India, conducted by the National Testing Agency (NTA) for admission to top engineering ...

AIIMS aims to fill 2551 vacancies for Nursing Officer posts. Candidates must check the latest NORCET 10 syllabus and exam ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Abstract: We develop DeepOPF-Stoc as a neural network approach to efficiently solve the two-stage stochastic AC optimal power flow (AC-OPF) problem, which emphasizes reliable and cost-effective grid ...

Abstract: As a subclass of evolutionary algorithms, estimation of distribution algorithms (EDAs) have found widespread use in a variety of optimization problems with impressive performance. In each ...