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  2. Machine learning in bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_in...

    t. e. Machine learning in bioinformatics is the application of machine learning algorithms to bioinformatics, [1] including genomics, proteomics, microarrays, systems biology, evolution, and text mining. [2] [3] Prior to the emergence of machine learning, bioinformatics algorithms had to be programmed by hand; for problems such as protein ...

  3. Virtual screening - Wikipedia

    en.wikipedia.org/wiki/Virtual_screening

    Application to drug discovery. Virtual screening is a very useful application when it comes to identifying hit molecules as a beginning for medicinal chemistry. As the virtual screening approach begins to become a more vital and substantial technique within the medicinal chemistry industry the approach has had an expeditious increase.

  4. Quantitative structure–activity relationship - Wikipedia

    en.wikipedia.org/wiki/Quantitative_structure...

    The following learning method can be any of the already mentioned machine learning methods, e.g. support vector machines. An alternative approach uses multiple-instance learning by encoding molecules as sets of data instances, each of which represents a possible molecular conformation. A label or response is assigned to each set corresponding ...

  5. Drug discovery - Wikipedia

    en.wikipedia.org/wiki/Drug_discovery

    Drug discovery. In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered. [1] Historically, drugs were discovered by identifying the active ingredient from traditional remedies or by serendipitous discovery, as with penicillin. More recently, chemical libraries of ...

  6. Google DeepMind unveils next generation of drug discovery AI ...

    www.aol.com/news/google-deepmind-unveils-next...

    Google Deepmind has unveiled the third major version of its "AlphaFold" artificial intelligence model, designed to help scientists design drugs and target disease more effectively. In 2020, the ...

  7. High-throughput screening - Wikipedia

    en.wikipedia.org/wiki/High-throughput_screening

    High-throughput screening ( HTS) is a method for scientific discovery especially used in drug discovery and relevant to the fields of biology, materials science [1] and chemistry. [2] [3] Using robotics, data processing/control software, liquid handling devices, and sensitive detectors, high-throughput screening allows a researcher to quickly ...

  8. Artificial intelligence in healthcare - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Artificial intelligence in healthcare is a term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to copy human cognition in the analysis, presentation, and understanding of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease.

  9. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction, based on known properties learned from the training data, data mining focuses on the discovery of (previously) unknown properties in the data (this is the analysis step of knowledge discovery in databases).