Beyond human intuition, biomolecular circuits can also be designed using machine intelligence. Early work (50) used exhaustive enumeration to identify adaptive behaviors across all three-node enzyme ...

Prompt Router is a CPU-first, local and explainable prompt qualification control plane. It classifies what a request is, estimates how difficult it is on a five-level scale, derives the capabilities ...

While network science provides a powerful framework for deciphering complex biological systems, static models often fail to capture the dynamic nature of cellular processes. Temporal network analysis ...

Rainbow trout (Oncorhynchus mykiss) are highly susceptible to life-threatening bacterial infections, posing significant economic and productivity challenges to aquaculture. While vaccines are commonly ...

9Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Current address for A. Hayashi: Department of Pathology, Kyorin University School of ...

This study compares microsurgical clipping, endovascular coiling, and conservative management strategies for unruptured intracranial aneurysms using network meta-analysis to generate a treatment ...

In recent years, machine learning has been successfully applied to complex and nonlinear dynamical systems for improved prediction of the future state, but ecological systems represent a great ...

Researchers have long sought to bridge the gap between phenotypes and the genotypes that cause them. This gap remains open because current methods focus on associating phenotypes to a combinatorially ...

In this study, we introduce an innovative methodology for the design of mm-Wave passive networks that leverages knowledge transfer from a pre-trained synthesis neural network (NN) model in one ...

Clinical reasoning in veterinary medicine is often based on clinicians’ personal experience in combination with information derived from publications describing cohorts of patients. Studies on the use ...