For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Argobio successfully facilitated fundraising and syndication process, following its earlier role in creating and pre-seed funding EnodiaFinancing ...
Argobio Studio, the launch platform for Europe's best innovative science, today announced the successful seed financing of Enodia Therapeutics, a ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
Abstract: Federated learning (FL) is a distributed machine learning (ML) paradigm designed for numerous networked devices. To face the massive data generated by devices and privacy concerns in model ...
Abstract: Landslide susceptibility mapping (LSM) is effective in revealing the spatial distribution and probability of landslides. Its accuracy is crucial for minimizing casualties and property loss.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback