Single-cell biology has been transformed over the past decade by the ability to measure gene expression in thousands of ...

One of the most stubborn obstacles in computational drug discovery is the cold-start problem: how do you predict whether a new drug will interact with a protein target when the model has never seen a ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

We introduce GRouNdGAN, a gene regulatory network (GRN)-guided reference-based causal implicit generative model for simulating single-cell RNA-seq data, in silico perturbation experiments, and ...

Google researchers introduce Procedural Graphs, a self-evolving framework that ranked first in 21 of 24 benchmark settings and boosted long-task ...

Pretreatment CT-based radiomics and machine learning models for predicting treatment response in lung cancer: A diagnostic test accuracy meta-analysis. This is an ASCO Meeting Abstract from the 2026 ...

Our past columns have emphasized repeatedly that modeling is the single most important activity in mechatronics, which is becoming the design process of choice for successful multidisciplinary systems ...

This may come as a shock if you've first encountered knowledge graphs in Gartner's hype cycles and trends, or in the extensive coverage they are getting lately. But here it is: Knowledge graph ...

Enterprise digital transformation has caused an explosion of business data -- and with it, a re-examination of data management and analytics techniques that has taken on significant implications for ...

Who is PuppyGraph? PuppyGraph is a zero copy graph query engine designed to tackle the massive complexity that arises when ...

TL;DR: Using a refund workflow in ADK, we'll cover fan-out and fan-in, deterministic and agent routers, human-in-the-loop ...