Results 191 to 200 of about 1,241,263 (261)

Magnetic Micro‐ and Nanorobots for Precision Thrombolysis: Design Strategies and Translational Challenges

open access: yesAdvanced Robotics Research, EarlyView.
Micro‐ and nanorobots for targeted thrombolysis. This perspective elaborates on the clinical indication of blood clot disorders and current limitations for treatment. As a novel, alternative solution, micro‐ and nanorobots can be used to treat and break down thrombi.
Joshua M. Mesfin   +3 more
wiley   +1 more source

AI literacy among healthcare professionals and students in the Americas. [PDF]

open access: yesLancet Reg Health Am
Patel M   +7 more
europepmc   +1 more source

Mitochondrial Dysfunction Unravels the Potential Molecular Link Between Night Shift Work‐Related Circadian Disruption and Elevated Blood Pressure in Human and Mouse Models

open access: yesAdvanced Science, EarlyView.
This diagram illustrates that night shift work disrupts circadian clock genes (like CLOCK, BMAL1) in both humans and mice. This disruption leads to mitochondrial dysfunction (imbalanced fusion/fission proteins) and increased oxidative stress, which is identified as the primary mechanism ultimately causing elevated blood pressure.
Zhaoqiang Jiang   +16 more
wiley   +1 more source

Transcription Factor Promiscuity Drives Regulatory Rewiring and Evolvability in Gene Networks in Bacteria

open access: yesAdvanced Science, EarlyView.
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

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