Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …

Deep Learning (DL) has recently enabled unprecedented advances in one of the grand
challenges in computational biology: the half-century-old problem of protein structure …

Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …

Adenine base editors (ABEs) catalyze A-to-G transitions showing broad applications, but
their bystander mutations and off-target editing effects raise safety concerns. Through …

As a potential energy carrier, hydrogen has surged up the priority list as part of broader
decarbonization efforts and strategies to build or acquire clean energy economies. Driven by …

Rechargeable lithium batteries have been widely regarded as a revolutionary technology to
store renewable energy sources and extensively researched in the recent several decades …

The rational design of effective catalysts for sluggish oxygen evolution reactions (OERs) is
desired but challenging. Nickel‐iron (NiFe)(oxy) hydroxides are promising pre …

Monometallic catalysts, in particular those containing noble metals, are frequently used in
heterogeneous catalysis, but they are expensive, rare and the ability to tailor their structures …

Highly efficient, low-cost electrocatalysts having superior activity and stability are crucial for
practical electrochemical water splitting, which involves hydrogen and oxygen evolution …

Recent advances and accomplishments of artificial intelligence (AI) and deep generative
models have established their usefulness in medicinal applications, especially in drug …