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Results for "Medicine & Health"

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#371Medicine & HealthFront Page1 January 2026

Does Bitter Taste Sensitivity and Obesity Correlate? The Data Says No

A systematic review of 27 studies establishes no significant association between bitter taste perception and overall weight status in adults. While general BMI appears unaffected, secondary analysis suggests a potential interaction with body fat distribution.

By Shareef, Mulaw, Rathore, Irwin, Vincze, Rigby, Jani

#372Chemistry & Material ScienceFront Page30 January 2026

The Geometry of Cool: Rethinking Radiative Cooling Fabrics

Researchers analysed eleven uncoated textile structures to determine how physical properties like fibre diameter and shape influence heat management. The data reveals that microfibres and specific geometries can reflect significant near-infrared radiation, suggesting that structural engineering may be as effective as chemical additives for cooling.

By Lejeune, Mulot--Hauriez, Vroman

#373Medicine & HealthFront Page1 December 2025

More Than Just Olive Oil: When Trial Participants Take the Reins

A qualitative analysis from the University of Granada reveals that participants in Mediterranean diet trials crave more than just health benefits; they desire active partnership. Older adults expressed a keen interest in co-designing research protocols and disseminating findings, signaling a shift from passive subjects to active collaborators.

By Cano-Ibáñez, Martínez-Ruiz, Amezcua-Prieto, Bouzalmate-Hajjaj, Bueno-Cavanillas, Masso-Guijarro

#374Computer Science & AIFront Page29 November 2025

Deep Learning Unlocks Secrets Hidden in Human Skulls

A new study reveals that a Siamese Neural Network can identify human remains from skull images with 85.33% accuracy. By analysing data from the New Mexico Decedent Image Database, this AI model outperforms current state-of-the-art forensic methods.

By Sevinc, Mehrubeoglu, Yılmaz, Derrick

#375Medicine & HealthFront Page4 February 2026

Reading the Invisible: How AI in Prostate Cancer Decodes the Genome from a Single Slide

Researchers have developed ProGENIE, a computational framework that predicts gene expression directly from standard pathology images. By correlating tissue shape with molecular profiles, the tool offers a rapid, cost-effective alternative to extensive genomic sequencing.

By Han, Li, Mah, Logan, Wang, Liu, Ryan, Lynn, Foreman, O’Leary, Brooks, Polo, Butler, Li

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