From pursuing an impossible dream to uncovering one of the cell’s best-kept secrets and advancing the design of improved antibiotics

Open-source AI platform for spectroscopy, chemometrics, and machine learning for analytical chemistry and narcotic sensing research. - drjoykarmakar/NarcoticSense-AI

Substance’s “remarkable” behavior could lead to devices powered by energy-rich gels

The pharma giant has agreed to acquire Centessa Pharmaceuticals

AI Scientist, an autonomous research tool, first released in 2024, has now undergone peer review, highlighting its strengths and limitations.

Among users initially on a chronological feed, 7 weeks of exposure to X’s algorithmic feed in 2023 shifted political attitudes and account-following behaviour in a more conservative direction compared...

Crispr’s ability to cut genetic code like scissors has just started to turn into medicines. Now, gene editing pioneer Jennifer Doudna wants to build an entire ecosystem to bring these treatments mains...

Discover, compare, and analyze fluorescent molecules with advanced AI assistance.

Aptamer-coated microneedle patch can detect amounts of the antibiotic vancomycin in real time for at least 12 hours

Medical device makers have been rushing to add AI to their products. While proponents say the new technology will revolutionize medicine, regulators are receiving a rising number of claims of patient ...

For 2026, the lectureship is open to candidates in digital chemistry and the chemical applications of AI, ML, and automation.

Hanahan revisits the evolving framework of cancer hallmarks, synthesizing 25 years of conceptual refinement into a multidimensional view of tumor biology. This review highlights how aberrant capabilit...

Open science advocates create a guide to sharing medicinal molecule collections

In this work we explore the performance and behavior of reasoning large language models to autonomously optimize atomic layer deposition (ALD) processes. In the ALD process optimization task, an agent...

The new FlowER generative AI system may improve the prediction of chemical reactions. The approach, developed at MIT, could provide realistic predictions for a wide variety of reactions, while maintai...

In the relentless pursuit of sustainable energy solutions, hydrogen has emerged as a linchpin in the transition away from fossil fuels. However, one of the most persistent challenges that has hampered

From deadly floods to devastating droughts, extreme weather events are becoming more common and more intense. But how do we know whether climate change is the cause—or just natural variation? Clair Ba...

Bluesky posts referencing scholarly articles ‘find substantially higher levels of interaction’ than on Elon Musk’s platform

Photodynamic therapy (PDT) has emerged as a highly promising approach for tumor treatment, owing to its remarkable spatiotemporal precision and non-invasive characteristics. Nevertheless, the clinical translation of conventional organic photosensitizers remains constrained by inherent limitations, including a low

A 2019 report by Health Care Without Harm found that the health care sector contributes 4.4% of the global total net emissions.

Researchers at Tohoku University have applied explainable machine learning to identify key factors for nickel-based catalysts that improve CO₂ methanation. The findings show how data-driven methods ca...

Stereoisomers found to exhibit substantial differences in density, stability and detonation performance

A new strategy for strengthening polymer materials could lead to more durable plastics and cut down on plastic waste, MIT and Duke University researchers report.

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