Results 101 to 110 of about 102,556 (258)

Ascites circRNA ASCOR Drives Platinum Resistance of High‐Grade Serous Ovarian Cancer by Facilitating RPA1 Nuclear Translocation

open access: yesAdvanced Science, EarlyView.
High‐grade serous ovarian carcinoma (HGSOC) is plagued by platinum resistance, with malignant ascites closely linked to poor outcomes. Here, we identify ASCOR, a circRNA enriched in ascites small extracellular vesicles (sEVs) from platinum‐resistant HGSOC patients, as a predictor of poor survival. ASCOR enhances platinum resistance in vitro and in vivo
Hanyuan Liu   +10 more
wiley   +1 more source

Photonic Time Crystals and Time‐Varying Electromagnetic Metamatter: A New Direction for Ultrafast Tunable Photonic and Microwave Materials and Devices

open access: yesAdvanced Science, EarlyView.
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel   +3 more
wiley   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

open access: yesAdvanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang   +13 more
wiley   +1 more source

Emerging Device Applications From Strong Light–Matter Interactions in 2D Materials

open access: yesAdvanced Science, EarlyView.
Two‐dimensional semiconductors enable extremely compact optoelectronic devices such as solar cells, sensors, LEDs, and lasers. Their strong light–matter interactions allow efficient light emission, detection, and energy conversion. This review article discusses the recent progress in integrating these materials with optical cavities and nanostructures ...
Janani Archana K   +7 more
wiley   +1 more source

Pancancer Fine‐Mapping of Mutational Intolerance Identifies CHEK1 as an Immunosuppressive Driver in Lung Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
This study identifies mutation‐intolerant genes (MIGs), which are mutationally constrained in tumors despite normal‐tissue variability. Using miDriver, the authors pinpoint MIGs essential for tumor‐intrinsic fitness and immune evasion. Focusing on CHEK1, they show it drives tumor fitness and sculpts an immunosuppressive niche via the MIF–CD74 axis ...
Tao Wang   +16 more
wiley   +1 more source

Extracellular Vesicles in Autoimmune Diseases: From Diagnostic Biomarkers to Engineered Therapeutics

open access: yesAdvanced Science, EarlyView.
This review provides a systematic comparison of extracellular vesicles (EVs) from both mammalian and plant sources in the context of autoimmune diseases. It highlights their emerging roles as precision biomarkers and engineered therapeutic platforms.
Yufei Wu   +6 more
wiley   +1 more source

Approaching Scarless Wound Healing: From Passive Anti‐Fibrotic to Proactive and Programmable Pro‐Regenerative Strategies

open access: yesAdvanced Science, EarlyView.
This review outlines the wound healing process and factors influencing scar formation, explores how certain animals and human fetuses achieve scarless skin or tissue regeneration, and details tissue engineering material strategies employed in scarless wound dressings.
Meimei Fu   +7 more
wiley   +1 more source

[Interdisciplinary communication in neonatology].

open access: yesLa Pediatria medica e chirurgica : Medical and surgical pediatrics, 1995
An efficient and rational neonatal intensive care should be regionalized. Interdepartmental communication among obstetricians, neonatologists, pediatricians, neurologists should be planned and stirred between the reference centre and the outside hospitals, as well as in the catchment area. In this way only, such important goals as in-utero and neonatal
openaire   +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

Qualitative Study of Pediatric Early Warning Systems' Impact on Interdisciplinary Communication in Two Pediatric Oncology Hospitals With Varying Resources. [PDF]

open access: yesJCO Glob Oncol, 2020
Graetz D   +13 more
europepmc   +1 more source

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