Results 201 to 210 of about 4,420,912 (284)

Optimization of Magnetic Milli‐Spinner for Robotic Endovascular Intervention

open access: yesAdvanced Robotics Research, EarlyView.
This work presents the design optimization of a multifunctional magnetic milli‐spinner for high‐speed propulsion and efficient clot debulking. The optimized design achieves an ultrafast swimming velocity of 55 cm/s (≈175 body lengths/s) in saline water, enabling stable upstream swimming against strong physiological flows and establishing magnetic milli‐
Lu Lu   +3 more
wiley   +1 more source

GPR124 Alleviates Blood–Brain Barrier Disruption by Enhancing Microvascular Endothelial Function after Traumatic Brain Injury

open access: yesAdvanced Science, EarlyView.
Our study reveals the protective role of GPR124 in maintaining BBB integrity and promoting neurological recovery following TBI. It makes a significant contribution by uncovering a novel molecular interaction between GPR124 and FGFBP1 and linking this to activation of the Wnt/β‐catenin signaling pathway in vascular repair mechanisms.
Chen Wang   +13 more
wiley   +1 more source

Malectin Alleviates Endoplasmic Reticulum Stress in Gestational Diabetes Mellitus via Glycoprotein Quality Control Mechanisms

open access: yesAdvanced Science, EarlyView.
Malectin alleviates high glucose‐induced ER stress and damage in placental trophoblasts, a function dependent on its six critical carbohydrate‐binding residues. In a GDM mouse model, administration of TAT‐Malectin ameliorated hyperglycemia and placental ER stress and prevented fetal macrosomia.
Jiahui Zhu   +12 more
wiley   +1 more source

Eprenetapopt in combination with carboplatin in high-grade ovarian and triple negative breast cancer cell lines with acquired resistance to olaparib. [PDF]

open access: yesFront Oncol
Pineda B   +8 more
europepmc   +1 more source

Drug synergism in obstetrics (a case report).

open access: yesJournal of postgraduate medicine, 1984
M, Singhal   +3 more
openaire   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

open access: yesAdvanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu   +7 more
wiley   +1 more source

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