Results 161 to 170 of about 1,224,288 (285)

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

Learning to connect: feasibility, acceptability and experiences in the social domain intervention for eating disorders. [PDF]

open access: yesJ Eat Disord
Ryan A   +7 more
europepmc   +1 more source

Comment on “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence”

open access: yesAdvanced Science, EarlyView.
This comment examines AI‐driven DNA‐based facial reconstruction, focusing on the Difface model. While such technologies promise biomedical and forensic applications, they pose significant ethical, legal, and methodological challenges. We emphasize transparency, benchmarking, and rigorous validation to avoid misinterpretation and misuse.
Jennifer K. Wagner   +3 more
wiley   +1 more source

Stakeholder communication and client understanding of viral load suppression in Blantyre, Malawi-What role did U = U play before the flip the script campaign? [PDF]

open access: yesPLoS One
Berner-Rodoreda A   +11 more
europepmc   +1 more source

CircTspan3 Promotes Cartilage Development Through ANNEXIN A2‐Mediated Ferroptosis and Apoptosis Inhibition and Exosome‐Mediated Paracrine Signaling

open access: yesAdvanced Science, EarlyView.
This study reveals that XBP1s drives production of circTspan3, a circular RNA that strengthens cartilage by boosting anabolic activity and limiting cell death. Phosphorylated ANXA2 directs circTspan3 into exosomes, enabling paracrine repair. Exosomal circTspan3 expands growth‐plate cartilage and promotes in vivo regeneration, highlighting its promise ...
Yiming Pan   +16 more
wiley   +1 more source

Single‐Target Pairing System (StarPair) for Large‐Scale Interrogation of Cell–Cell Interactions

open access: yesAdvanced Science, EarlyView.
This work presents a single‐target pairing system, StarPair, enabling cell–cell interaction studies by target combination in droplets. StarPair offers superior pairing efficiencies over 95% and operation frequencies of 105 pairs per 9.5 h for two‐target pairing, allowing large‐scale interrogation of immune cell‐cancer cell interactions and precise ...
Tianjiao Mao   +6 more
wiley   +1 more source

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