Results 171 to 180 of about 184,433 (313)
Single‐cell RNA editing analysis identifies ADAR1 as a regulator of dysfunctional T cell states in colorectal cancer. Elevated ADAR1 activity promotes T cell exhaustion and impairs antitumor immunity partly through TGF‐β‐SMAD signaling, contributing to anti‐PD‐1 resistance and highlighting T cell ADAR1 as a potential therapeutic target and biomarker ...
Da Kang +10 more
wiley +1 more source
This study evaluated immune‐related biomarkers in esophageal squamous cell carcinoma treated with immune checkpoint inhibitors after postoperative recurrence. PD‐L1 expression in tumor‐associated macrophages and tumor cells, together with HLA class I downregulation and HLA‐DR expression, were associated with favorable responses to immunotherapy.
Kosuke Kanemitsu +9 more
wiley +1 more source
Mucosal melanoma – diagnostic challenge
Mucosal melanoma malignum (mMM) is a rare and aggressive malignancy that carries a poor prognosis. Most commonly, it develops on the mucous membranes in the head and neck region, and within the genitalia. Because of its anatomical location and absence of
Paulina Karp +2 more
core +1 more source
Innovations in Gastric Cancer Surgery During Early Minimally Invasive Era and Future Perspectives
With continuing revelations in tumor biology and the emergence of artificial intelligence, new horizons for surgical innovation are opening. At the center of this transformative journey stands the innovative surgeon, driven by passion, guided by data, and steadfast in the commitment to patient safety and quality of life.
Reut El‐On, Young‐Woo Kim
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez +2 more
wiley +1 more source
Frank Xiaoqing Liu,1 Edward A Witt,2 Scot Ebbinghaus,1 Grace DiBonaventura Beyer,2 Reshma Shinde,1 Enrique Basurto,2 Richard W Joseph3 1Merck & Co., Inc., Kenilworth, NJ, USA; 2Kantar Health, New York, NY, USA; 3Mayo Clinic, Jacksonville, FL, USA ...
Liu FX +6 more
doaj
Clinically Relevant Bleeding in Individuals With Cancer: Insights From a Nationwide Cohort Study
ABSTRACT Cancer care is often complicated by coagulopathy leading to thrombosis and bleeding. While venous thromboembolism (VTE) has been extensively studied, bleeding remains an underestimated threat. To address this knowledge gap, we leveraged the Epic Cosmos database to determine the impact of cancer‐associated clinically relevant bleeding (CRB) in ...
Ming Y. Lim +11 more
wiley +1 more source

