Results 241 to 250 of about 1,330,345 (344)

Identification and Drug Screening of Single Cells from Human Tumors on Semiconductor Chip for Cancer Precision Medicine

open access: yesAdvanced Science, EarlyView.
The study innovatively integrates single‐cell electric impedance identification and drug screening on a semiconductor chip, addressing tumor heterogeneity limitations. The system achieves label‐free cancer cell recognition while concurrently evaluating drug efficacy on cancer cells and toxicity on noncancerous cells.
Wenhao Hui   +13 more
wiley   +1 more source

Targeted Intervention Strategies for Maternal–Offspring Transmission of Christensenellaceae in Pigs via a Deep Learning Model

open access: yesAdvanced Science, EarlyView.
This study deciphers maternal‐driven microbial transmission in pigs using a deep learning model (maternal–offspring microbial transmission model), identifying Christensenellaceae R‐7 group as a key transmitted taxon. Filtered galacto‐oligosaccharides‐targeted Christensenellaceae R‐7 group alters offspring microbial functions via maternal ...
Haibo Shen   +9 more
wiley   +1 more source

COVER

open access: yesInternational Journal of Psychoanalysis and Education, 2017
Filippo Maria Grilli
doaj  

Correction: CircDIDO1 inhibits gastric cancer progression by encoding a novel DIDO1‑529aa protein and regulating PRDX2 protein stability. [PDF]

open access: yesMol Cancer
Zhang Y   +13 more
europepmc   +1 more source

Wireless Soft Athlete Bioelectronics for Monitoring Carbon Dioxide Ventilation and Physiological Performance

open access: yesAdvanced Science, EarlyView.
A wireless soft athlete bioelectronic system offers a real‐time continuous monitoring of various physiological signals and metabolites during exercise. Abstract Wearable devices have become essential tools for monitoring athletes' health and performance.
Tae Woog Kang   +12 more
wiley   +1 more source

Multi‐Dimensional Multiplexed Metasurface for Multifunctional Near‐Field Modulation by Physics‐Driven Intelligent Design

open access: yesAdvanced Science, EarlyView.
The expansive design space of advanced metasurfaces, particularly those with multiple degrees of freedom (MDOF), renders traditional design methods less effective. A physics‐driven intelligent design is proposed for MDOF metasurfaces, which integrates physical knowledge into neural networks, enhancing interpretability and computational efficiency. This
Jian Lin Su   +10 more
wiley   +1 more source

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