The field of cancer research has increasingly focused on the metabolic underpinnings of tumorigenesis, recognizing how the reprogramming of cellular energy ...

The Nature Index tracks primary research articles from 145 natural-science and health-science journals, chosen based on reputation by an independent group of researchers. The Nature Index provides ...

Replacing animal testing with alternate methodologies in preclinical drug trials holds potential for the development of ...

Researchers have applied AI and machine learning to every stage of the drug development process. This includes identifying targets in the body, screening potential candidates, designing drug molecules ...

Overview AI is speeding up drug discovery by analyzing large biological and chemical data in a short time.Deep learning and AI systems help design new drug mole ...

Real-World Data and Real-World Evidence (RWD/RWE) have been utilized not only for drug safety assessment but also for efficacy evaluation for drug approval at global basis. Over the years, many real ...

Lantern showcases two commercially ready, machine learning platforms that have the potential to accelerate drug discovery from months to days and dramatically reduce costs. predictBBB.ai and LBx-AI, ...

Developing high-quality, safe, and effective drugs is a complex process that requires varied scientific skills and stringent regulatory assessments. Drug development is a process that spans many years ...

The Union Ministry of Health and Family Welfare has taken a series of measures including simplification of regulatory ...

The Union Health Ministry has amended the NDCT Rules, 2019 to reduce regulatory burden, waive permissions for low-risk ...