GitHub

ams-io-bench_and_ams-io-agent_benchmarking_and_structured_re.md

title [论文解读] AMS-IO-Bench and AMS-IO-Agent: Benchmarking and Structured Reasoning for Analog and Mixed-Signal Integrated Circuit Input/Output Design description [AAAI 2026][LLM Agent] ...
The Lancet

Prevalence of locoregional and distant lymph node metastases in children and adolescents/young adults with soft tissue sarcomas: a Bayesian meta-analysis of proportions

The table summarises the main characteristics of the 263 studies included in the meta-analysis, stratified by study population: rhabdomyosarcoma (RMS), non-rhabdomyosarcoma soft tissue sarcoma (NRSTS) ...
LinkedIn

Role of Discrete Mathematics in Data Science

In the realm of data science, algorithms and computational power take the centre stage. Yet, behind these innovations lies a robust foundation built on discrete mathematics, a branch of mathematics ...
VN Express

Pi Network’s SuperNode mechanism raises concerns about lack of decentralization

The SuperNode validation structure of Pi Network has raised doubts about the project’s decentralization since control remains in the hands of the Pi Core Team. A user asked on Reddit: "Can someone ...
Frontiers

Machine learning algorithms predict canine structural epilepsy with high accuracy

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 ...
The Lancet

Machine learning identifies signatures of macrophage reactivity and tolerance that predict disease outcomes

aDepartment of Cellular and Molecular Medicine, University of California San Diego, USA bDepartment of Medicine, University of California San Diego, USA cMoores Cancer Center, University of California ...
ascopubs.org

Identifying Confounders Using Bayesian Networks and Estimating Treatment Effect in Prostate Cancer With Observational Data

Randomized controlled trials are considered the golden standard for estimating treatment effect but are costly to perform and not always possible. Observational data, although readily available, is ...
Europe PMC

Inference of a Boolean Network From Causal Logic Implications.

Biological systems contain a large number of molecules that have diverse interactions. A fruitful path to understanding these systems is to represent them with interaction networks, and then describe ...
Nature

Artificial intelligence-rationalized balanced PPARα/γ dual agonism resets dysregulated macrophage processes in inflammatory bowel disease

A computational platform, Boolean network explorer (BoNE), has recently been developed to infuse AI-enhanced precision into drug discovery; it enables invariant Boolean Implication Networks of disease ...
PNAS

Bayesian metamodeling of complex biological systems across varying representations

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2018. Cells are the basic units of life, yet their architecture and ...