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HEAL Helps Detect Heritable Disease Risk
Detecting inherited risk factors for diseases tied to more than a single gene has proved challenging. Now, researchers have used artificial intelligence to predict an individual's risk for developing a complex cardiovascular disease using only his or her genome sequence.
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Animal-Friendly Robots Now!
Semi-autonomous and autonomous machines and robots can become moral machines using annotated decision trees containing ethical assumptions or justifications for interactions with animals.
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Machine Learning Aids Spectral Interpretations
A research team combined two machine learning techniques to produce data-driven methods for spectral interpretation and prediction that can analyze any spectral data quickly and accurately.
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Pregnant? There's an App for That
For years, pregnant women have been underrepresented in biomedical research. Current treatments, interventions and guidelines do a poor job of taking into consideration the diverse characteristics of all pregnant women. A new digital approach hopes to address the many knowledge gaps around pregnancy.
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Machine Learning Predicts Metabolism Helping Drug Developers
Machine learning algorithms that can predict yeast metabolism from its protein content have been developed by scientists at the Francis Crick Institute. The findings could provide a basis scientists to personalise treatments for metabolic disorder patients, in the future.
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A Better Understanding of Relapse in Breast Cancer
A large genomic analysis has linked certain DNA mutations to a high risk of relapse in estrogen receptor positive breast cancer, while other mutations were associated with better outcomes, according to researchers from Washington University School of Medicine in St. Louis, the Baylor College of Medicine and the University of British Columbia.
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Improved Insights into Protein Folding
Existing methods have been combined to optimize simulations and better reflect the physical process of protein folding.
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The AI Movement Monitor
Understanding the brain, in part, means understanding how behavior is created. To reverse-engineer how neural circuits drive behavior requires accurate and vigorous tracking of behavior, yet the increasingly complex tasks animals perform in the laboratory have made that challenging. Now, a team of researchers is turning to artificial intelligence technology to solve the problem.
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Using Electron Orbitals to Predict Chemical Reactions
As chemistry has gotten more complex, it's no longer always practical for researchers to sit down at a lab bench and start mixing chemicals to see what they can come up with. Now, researchers have developed a new tool that uses machine learning to predict chemical reactions long before reagents hit the test tube.
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Big Data Approach Reveals Therapeutic Target for Epilepsy
A newly-developed computational framework for drug discovery has been used to identify a therapeutic target for epilepsy.
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