Triboelectric sensors, derived from triboelectric nanogenerators, generate electrical signals
in response to mechanical stimuli. Its remarkable advantages of inherent self-powering, and …

Antimicrobial resistance (AMR) has become more of a concern in recent decades,
particularly in infections associated with global public health threats. The development of …

The bioactivity of compounds plays an important role in drug development and discovery.
Existing machine learning approaches have poor generalizability in bioactivity prediction …

Language models exhibit a profound aptitude for addressing multimodal and multidomain
challenges, a competency that eludes the majority of off-the-shelf machine learning models …

Artificial intelligence (AI), particularly deep learning as a subcategory of AI, provides
opportunities to discover and develop innovative drugs. The use of AI in drug discovery is …

Chemical prototypes with broad-spectrum antiviral activity are important toward developing
new therapies that can act on both existing and emerging viruses. Binding of the SARS-CoV …

Artificial intelligence (AI) has emerged as a transformative technology with significant
potential to revolutionize disease understanding and drug design in healthcare. AI serves as …

We examined pretraining tasks leveraging abundant labeled data to effectively enhance
molecular representation learning in downstream tasks, specifically emphasizing graph …

Malaria presents a significant challenge to global public health, with around 247 million
cases estimated to occur annually worldwide. The growing resistance of Plasmodium …

Diseases caused by viruses are challenging to contain, as their outbreak and spread could
be very sudden, compounded by rapid mutations, making the development of drugs and …