Results 161 to 170 of about 16,508 (238)

Interpretable machine learning-based real-time sepsis diagnosis. [PDF]

open access: yesSci Rep
Mahmud F   +4 more
europepmc   +1 more source

ZSL Orchestrates Synaptonemal Complex Assembly as a Central Region Scaffold to Ensure Synapsis Fidelity and Crossover Control in Polyploid Meiosis

open access: yesAdvanced Science, EarlyView.
A central molecular adaptor, ZSL, is identified that links transverse filaments ZYP1 to central element SCEP1/2 to drive synaptonemal complex assembly in Brassica napus. Loss of ZSL abolishes synaptonemal complex formation, disrupts meiotic chromosome segregation, and markedly increases crossovers, providing mechanistic insight into meiotic fidelity ...
Miaowei Geng   +16 more
wiley   +1 more source

Reconfigurable, Temperature Resilient Phase‐Change Metasurfaces Fabricated via High Throughput Nanoimprinting Lithography

open access: yesAdvanced Science, EarlyView.
ABSTRACT The combination of metasurfaces with chalcogenide phase‐change materials is a highly promising route toward the development of multifunctional and reconfigurable nanophotonic devices. However, their transition into real‐world devices is hindered by several technological challenges. This includes, amongst others, the lack of large area photonic
Carlota de Ruiz de Galarreta   +8 more
wiley   +1 more source

Bench‐to‐Bedside Translation of Self‐Healing Colloidal Hydrogels as Next Generation Design of Flowable Hemostatic Matrix: From Preclinical Evaluation to Human Clinical Trials

open access: yesAdvanced Science, EarlyView.
ABSTRACT Self‐healing materials represent a paradigm shift in designing functional biomedical devices for drug delivery, tissue regeneration, and 3D bioprinting. However, their clinical translation remains limited by challenges such as insufficient mechanical strength, potential cytotoxicity from chemical modifications, and complex activation ...
Ganjun Feng   +15 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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