CIENCIASMEDICASNEWS: Medical News | Medical Articles | Combining Digital Pathology with Artificial Intelligence

lunes, 25 de noviembre de 2019

Medical News | Medical Articles | Combining Digital Pathology with Artificial Intelligence

	Artificial Intelligence in Healthcare
	The latest artificial intelligence in healthcare news from News Medical

Combining Digital Pathology with Artificial Intelligence

The buzz phrase “digital due diligence” has seen a rise within the world of venture capital of late. From an investor’s perspective, the world of business has changed so drastically through technology such that any business failing to adapt quickly enough may be doomed in the future – even if everything looks good in the present.

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			High-Performance Organic Photovoltaics Through Machine Learning Scientists from the School of Energy and Power Engineering, Chongqing University, China, have discovered a highly efficient, time saving as well as a reliable machine learning (ML) method for the research and development of novel organic photovoltaic (OPV) materials.

			Using AI to improve psychiatric care A new paper in Schizophrenia Bulletin shows that artificial intelligence (AI) can help doctors to diagnose the mental health of patients with speed and accuracy. The new app designed for mobiles has been developed to improve patient monitoring using cues picked up from their speech, and is based on machine-learning tools.

	Machine learning successfully replicates cell architecture A new study published in the journal Cell Systems on November 20, 2019, reports the use of machine learning to help form complex cell architectures from pluripotent stem cells, a sophisticated technology that could solve multiple issues that currently hampers the production of artificial tissues and organs.

	Researchers use AI to identify RNA binding sites on proteins Researchers at the King Abdullah University of Science and Technology (KAUST) have developed an artificial intelligence (AI) tool that can accurately detect which sites on the surface of a protein bind to RNA molecules. The tool, called NucleicNet, outperforms other computational tools and provides insights that could help in the design and development of drugs.

	AI-driven automated system can help design biochemical pathways to produce lycopene A new proof-of-concept study details how an automated system driven by artificial intelligence can design, build, test and learn complex biochemical pathways to efficiently produce lycopene, a red pigment found in tomatoes and commonly used as a food coloring, opening the door to a wide range of biosynthetic applications, researchers report.