"Researchers at a wide range of universities and health care institutions announced findings this year about how AI will help with future therapies and better detection in primary care. For example, one study found that a specific gene is a cause of Alzheimer's - a discovery the researchers were only able to make because AI helped them visualize the three-dimensional structure of the protein."
"Google released its AlphaGenome model to understand diseases better and lead to drug discovery. The model was made possible by technical advancements that allow it to process long DNA sequences and provide quality predictions. 3. Advancements in humanoid robots' dexterity and human interaction this year could mean AI-enabled robots one day clean homes, keep people company, work in warehouses or provide care in health care settings, some observers are predicting."
"Researchers are combining AI with physics-based climate models to predict extreme weather that may happen every 1,000 years, also known as "gray swan" events. Google released its most advanced forecasting model, which can generate forecasts eight times faster than before. 5. High demand for cement alternatives that are cost and emission-efficient led an MIT team to use AI to find new ingredients that can be used in concrete."
AI enabled faster, cheaper Alzheimer's and related-disease diagnostics by enabling three-dimensional protein visualization that revealed a causal gene. AlphaGenome processes long DNA sequences to improve disease understanding and accelerate drug discovery. Humanoid robots made dexterity and interaction gains, prompting investment toward home, warehouse, and healthcare roles while general-purpose humanoids remain distant. AI combined with physics-based climate models now predicts rare "gray swan" extreme-weather events and supports forecasting models that run much faster. Machine-learning frameworks analyzed literature and over one million rock samples to identify viable, lower-emission cement ingredient alternatives.
Read at Axios
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