Results 151 to 160 of about 26,930 (292)
It is currently not well understood how cells regulate basic properties, e.g., volume and mechanics within dense multicellular environments like tumors. Here, we show that different cell types of cancer and also normal cells largely decrease their nuclear and cellular volumes in emerging cell clusters and that this is partly driven by cell cycle shifts.
Vaibhav Mahajan +13 more
wiley +1 more source
Barcoding, biobanking, ebanking for “One Health” projects in South-East Asia: considering ethics and international law [PDF]
A first workshop held within the framework of the PathodivSEA project has been the occasion to identify the major research challenges regarding the emergence of zoonotic infectious diseases in South East Asia and the spread of pathogens responsible from ...
Huan, Tan Boon +2 more
core
We report an electrochemical biosensor that employs biopanning‐derived affinity peptides as selective receptors on a multifunctional chitosan–zwitterionic–gold nanoparticle (CS–ZI–AuNPs) nanohydrogel interface. The CS–ZI–AuNPs nanohydrogel exhibits antifouling properties, abundant sites for stable peptide immobilization, and efficient electrochemical ...
Hyo Jeong Yang +6 more
wiley +1 more source
This nationwide claims‐based study analyzed recent trends in pancreatic cancer incidence (2016–2021) and surgery (2016–2023) in Japan. The study revealed a rising incidence of pancreatic cancer, notably among young women, and an increasing use of distal pancreatectomy among older adults.
Masamitsu Kido +10 more
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source
NAFLD‐related hepatocellular carcinoma: The growing challenge
Risk and protective factors for NAFLD‐related hepatocellular carcinoma Abstract Hepatocellular carcinoma (HCC) is a common cause of cancer‐related mortality and morbidity worldwide. With the obesity pandemic, NAFLD‐related HCC is contributing to the burden of disease exponentially.
Pir Ahmad Shah +2 more
wiley +1 more source
Genetic Contribution to Asthma Informs Acute Chest Syndrome Pathophysiology and Risk Stratification
ABSTRACT Acute chest syndrome (ACS) is a severe complication of sickle cell disease (SCD) occurring in ~50% of patients, some presenting frequent episodes. We lack tools to identify patients at high risk of ACS occurrence or frequent episodes. Epidemiological studies have found an association between asthma and ACS, but whether this link is causal is ...
Sara El Aouhel +10 more
wiley +1 more source

