Anthropic Claude wants to be your helpful colleague, always looking over your shoulder

Anthropic has acknowledged that users may have trouble coming up with ways to employ Claude by publishing a list of suggested ...

Argobio launches Enodia with €20.7 million seed financing to advance a small molecule platform for targeted protein degradation enabled by proteomics and machine learning

Argobio successfully facilitated fundraising and syndication process, following its earlier role in creating and pre-seed funding EnodiaFinancing ...

Automated Machine Learning Market to Grow at a Robust CAGR of 45.90%, Crossing USD 35.5 Billion by 2032 Amid Rapid Enterprise AI Adoption | AnalystView Market In…

North America Captures a Significant Revenue Share in the Automated Machine Learning Market, Supported by Government-Backed ...

Argobio launches Enodia with EUR20.7 million seed financing to advance a small molecule platform for targeted protein degradation enabled by proteomics and machine learning

Argobio Studio, the launch platform for Europe's best innovative science, today announced the successful seed financing of Enodia Therapeutics, a ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
IEEE

What is the Value of Heuristic Model Selection and Aggregation in Federated Learning?

Abstract: Federated learning (FL) is a promising distributed machine learning framework for mobile networks, where an aggregation server produces a global model by aggregating the local models from ...
Targeted Oncology

Machine Learning Model May Optimize Treatment Selection and Survival in HCC

The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...