Results 141 to 150 of about 105,934 (253)

Tumor‐Intrinsic Forkhead Box A2 Regulates the Lymph Node Metastasis of Papillary Thyroid Carcinoma by Regulating T‐Cell Apoptosis

iLABMED, Volume 4, Issue 1, Page 5-17, March 2026.
We identified FOXA2 as a key regulator of lymph node metastasis in thyroid cancer, which controls cancer cell aggressiveness. FOXA2 knockdown promotes metastasis by enhancing tumor cell migration and, importantly, by inducing T‐cell apoptosis through a CCL2/LCN2‐mediated pathway. Created with BioGDP.com.
Ping Yang, Xueying Zhang, Wen Deng, Fangning Gao, Shujia Peng, Guoqiang Bao, Lijuan Yuan   +6 more
wiley   +1 more source

Clinical Application of Peripheral Blood Biomarkers for Solid Tumors

MedComm, Volume 7, Issue 3, March 2026.
Peripheral blood biomarkers provide a minimally invasive, dynamic, and potentially more accurate means to obtain a comprehensive tumor profile. Technologies for detecting them are advancing, and with the help of artificial intelligence, they are being used more and more often for cancer diagnosis, prognostic assessment, and therapeutic monitoring ...
Xinru Tu, Mengyan Tu, Junfen Xu
wiley   +1 more source

“Within‐Trial” Prognostic Score Adjustment Is Targeted Maximum Likelihood Estimation

Pharmaceutical Statistics, Volume 25, Issue 2, March/April 2026.
ABSTRACT Adjustment for “super” or “prognostic” composite covariates has become more popular in randomized trials recently. These prognostic covariates are often constructed from historical data obtained from previous clinical trials or registries by fitting a predictive model of the outcome on the raw covariates.
Emilie Højbjerre‐Frandsen, Alejandro Schuler   +1 more
wiley   +1 more source

Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]

Quantum Mach Intell
Lim D, Doriguello JF, Rebentrost P.
europepmc   +1 more source

Penalized Variable Selection for Joint AFT Random‐Effect Model With Clustered Competing‐Risks Data

Pharmaceutical Statistics, Volume 25, Issue 2, March/April 2026.
ABSTRACT Clustered competing‐risks data often arise in clinical studies, such as multi‐center clinical trials, where the occurrence of an event within a cluster hinders the observation of other types of events. The correlation resulting from clustering can be modeled using random effects.
Lin Hao, Il Do Ha
wiley   +1 more source

Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly-Robust and Traditional Missing Data Methods. [PDF]

Stat Med
Williamson BD, Krakauer C, Johnson E, Gruber S, Shepherd BE, van der Laan MJ, Lumley T, Lee H, Hernández-Muñoz JJ, Zhao F, Dutcher SK, Desai R, Simon GE, Shortreed SM, Nelson JC, Shaw PA.   +15 more
europepmc   +1 more source

Comparison of Methods for Sensitivity Analysis of Heterogeneous Treatment Effects in Observational Studies and Application to Alzheimer's Disease and Cognitive Decline

Statistics in Medicine, Volume 45, Issue 6-7, March 2026.
ABSTRACT In Alzheimer's disease (AD) research, many observational studies have shown that the effect of sleeping quality, a modifiable risk factor, on cognitive decline is heterogeneous, where some adults experience faster rates of cognitive decline compared to others.
Jingqi Duan, Corinne D. Engelman, Qiongshi Lu, Hyunseung Kang   +3 more
wiley   +1 more source

On the Security and Efficiency of TLS 1.3 Handshake with Hybrid Key Exchange from CPA-Secure KEMs. [PDF]

Entropy (Basel)
Chen J, Peng W, Wang Y, Bian Y.
europepmc   +1 more source

Toward Explainable Engineering Decisions: Pursuing a Descriptive Decision Theory at the Intersection of Analysis, Judgment, and Conviction

Systems Engineering, Volume 29, Issue 2, Page 226-240, March 2026.
ABSTRACT Engineers design the technical systems that define and sustain our society. The decision‐making scenarios they face require both quantitative analyses and the consideration of qualitative factors, which are shaped by deeply held beliefs, values, and societal contexts. However, existing engineering decision‐making models, primarily derived from
Scott Ferguson, Kenneth “Mark” Bryden   +1 more
wiley   +1 more source

Steering Protein Generative Models at Test-Time for Guided AAV2 Capsid Design. [PDF]

Pac Symp Biocomput
Viggiano B, Lu WS, Zhang X, Mille-Fragoso LS, Gao XJ, Ashley E, Wong WH.   +6 more
europepmc   +1 more source