With oral cyclic peptides offering small molecule convenience and antibody‑like selectivity, the modality is gaining momentum ...

Ataraxis developed breakthrough causal AI methods that learn from large-scale, longitudinal data to predict patient outcomes in counterfactual treatment scenarios. These methods were encompassed in an ...

To enable more rational optimization of MVA-based vaccines, we developed a mechanistic and executable systems vaccinology framework based on Boolean modeling to capture the dynamics of vaccine-induced ...

Astromech is developing AI models that use evolutionary history to forecast biological change, risks, and regulatory ...

Retinal imaging provides useful data for coronary artery disease risk stratification but is not recommended as a stand-alone screening tool.

TraderMade Systems Ltd, a leading provider of foreign exchange market data and financial technology solutions, today announced a collaboration with EntangleX, part of the QuantumX Group, to support ...

Hundreds of Bitcoin price models promise an edge, but research finds few can reliably beat simple forecasts out of sample.

A diagnostic code tells the driver what failed. A prediction shows what is drifting toward failure. Tyler’s Predictive Fault Analysis is mileage-driven: it looks at the vehicle’s current mileage, ...

Research from MIT & Motional shows explainable deep learning improves human prediction of what a vehicle will do, enhancing understanding of self-driving car behavior.

Embedded computing and optimized machine learning models make PdM viable in small, distributed and cost-sensitive systems.

The applied social science research methods certificate is for students in education, the nonprofit sector and government positions who hold a bachelor's degree. Through this program, you'll learn how ...

An international team of scientists has conducted a literature review of recent advances and future prospects for key components of sodium-ion batteries (SIBs). SIBs store and release energy by ...