For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

Small cell lung cancer (SCLC) is one of the most aggressive forms of lung cancer, with a five-year survival rate of only 5%.

Abstract: Mesenchymal stem cell (MSC)-derived exosomes are recognized as an unparalleled therapy for tissue damage rendered by COVID-19 infection and subsequent hyper-inflammatory immune response.

Genesis’ proprietary foundation model – Pearl – outperforms frontier models, including AlphaFold 3, on key benchmarks that predict utility in real-world drug discovery Pearl’s performance improved ...

Model making is a great hobby, but knowing how and where to start is another story. It can be overwhelming for novices: Injection-molded plastic models have been on the market for close to a century, ...

Abstract: Molecular communication (MC) research is increasingly focused on applications within the human body, such as health monitoring and drug delivery, which require testing in realistic and ...

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...

A molecular model shows two macrocycles interlocked like links in a chain, with additional atoms attached on the side of one ring. This conceptual version of the catenane made by Michael Kathan and ...

Boltz-2 is an open-source biomolecular model achieving near-FEP accuracy with 1000x faster predictions for structure and binding affinity. MIT and Recursion have released Boltz-2, the first ...

Juan Casado Cordón, Professor of Physical Chemistry at the University of Malaga, considers graphene—an infinite layer of carbon atoms—as one of the greatest discoveries of the last 20 years due to its ...

Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...