Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

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A novel AI algorithm equips researchers with a powerful new tool to accurately identify individual jaguars, zebras and giraffes in real time based on their unique coat patterns. Biologists and ...

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

A quantum-inspired AI approach can analyze millions of molecular features from small datasets, improving predictions, ...

Perioperative anemia and red blood cell transfusions are important risk factors for morbidity and mortality in cardiac ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

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