Trusted Measurement for Medical XR Systems

	MedTech
	The latest medical technology news from News Medical

Konica Minolta Sensing Americas offers effective approaches that help display, device, and system makers improve production operations when testing medical XR systems. Their Radiant AV/VR Lens and XRE Lens solutions measure and ensure the quality of AR/VR devices used in the medical field, and support ongoing growth in this industry.

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			ChatGPT delivers clearer PCOS answers than standard resources ChatGPT outperforms traditional resources in clarity for PCOS information, highlighting its role as a supportive tool in evidence-based healthcare education.

			Interpretable machine learning model advances analysis of complex genetic traits A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields such as precision medicine, crop science, and animal breeding.

	Machine learning uncovers thousands of unknown bacterial immune defense systems Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences.

	Biological neural networks may serve as viable alternatives to machine learning models A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial systems.

	Using machine learning to scan post-cancer health risks Artificial intelligence (AI) could help physicians determine if survivors of childhood cancer need extra support - and the more information included in AI prompting, the better its performance. This finding, published today in Communications Medicine by scientists from St. Jude Children's Research Hospital, may guide future integration of AI into clinical workflows.

	Precision medicine tools offer hope for patients with rare blood cancers Personalized approaches have dramatically improved outcomes for many patients with non-Hodgkin B-cell lymphomas—blood cancers that arise in immune cells called B cells—yet the same is not true for patients with more rare lymphoma types that originate in immune cells called T cells.

	Machine learning helps predict risks during stem cell therapy for myeloma Multiple myeloma is a cancer in which plasma cells, which normally produce antibodies, multiply uncontrollably in the bone marrow.

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