Results 31 to 40 of about 2,570 (180)

lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood

Journal of Statistical Software, 2020
Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the associations among a large set of variables. This paper describes an R package called lslx that implements PL methods for semi-confirmatory structural equation ...
Po-Hsien Huang
doaj   +1 more source

Interleukin‐1α Mediates Pancreatic Fibroblast Activation, Regulates Immune Cell Recruitment and Fibrosis in Acute and Chronic Pancreatitis

Advanced Science, EarlyView.
During pancreatitis, IL‐1α is released from necrotic acinar cells. In response to IL‐1α, pancreatic fibroblasts release chemokines and cytokines that regulate the recruitment of immune cells to the damaged organ. Furthermore, IL‐1α primes fibroblasts, resulting in increased tissue fibrosis during chronic pancreatitis.
Hala Mazloum, Shenja Buchholz, Hanna Schifter, Sabine Ameling, Leif Steil, Ben Lewin Becker, Elke Hammer, Georg Homuth, Uwe Völker, Barbara M. Bröker, Lukas Zierke, Frank Ulrich Weiss, Juliane Glaubitz, Matthias Sendler   +13 more
wiley   +1 more source

Platform study of genotyping-guided precision medicine for rare solid tumours: a study protocol for a phase II, non-randomised, 18-month, open-label, multiarm, single-centre clinical trial testing the safety and efficacy of multiple Chinese-approved targeted drugs and PD-1 inhibitors in the treatment of metastatic rare tumours

BMJ Open, 2021
Introduction Limited clinical studies have been conducted on rare solid tumours, and there are few guidelines on the diagnosis and treatment, including experiences with targeted therapy and immunotherapy, of rare solid tumours in China, resulting in ...
Hui Wang, Ning Li, Wei Zhang, Dawei Wu, Hong Fang, Ying Bai, Hui-Yao Huang, Qi Fan, Yuan Wang, Shuhang Wang, Yuan Fang, Ning Jiang, Yu Tang, Chao Sun, Jianming Ying, Yue Yu, Anqi Yu, Shujun Xing, Yufen Ni, Chenhua Wu, Xinqian Ji, Yaqian Guo, Qiyu Tang   +22 more
doaj   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
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

Efficacy, safety and dose selection of AZD3759 in patients with untreated EGFR-mutated non-small-cell lung cancer and central nervous system metastases in China (CTONG1702-Arm 8): a multi-center, single-arm, phase 2 trialResearch in context

EClinicalMedicine, 2023
Summary: Background: Central nervous system (CNS) metastases is inevitable for epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). AZD3759 is a novel EGFR-TKI with impressive CNS penetration.
Si-Yang Maggie Liu, Xiao-Rong Dong, Zhen Wang, Yingying Du, Jiu-Wei Cui, Qian Chu, Bing-Fei Xu, Ming-Ying Zheng, Jia-Yi Deng, Chang Lu, Xue-Wu Wei, Yang-Si Li, Mei-Mei Zheng, Ming-Yi Yang, Jie Huang, Anna Li, Xiao-Yan Bai, Yue-Li Sun, Chong-Rui Xu, Bin-Chao Wang, Hua-Jun Chen, Jin-Ji Yang, Hong-Hong Yan, Wen-Zhao Zhong, Qing Zhou, Yi-Long Wu   +25 more
doaj   +1 more source

A conversation with James V. Zidek

Canadian Journal of Statistics, EarlyView.
AbstractThis article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges. Zidek is a Fellow of the Royal Society of Canada and
Christian Genest, Nancy E. Heckman
wiley   +1 more source

Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models

BMC Bioinformatics, 2020
Background The standard lasso penalty and its extensions are commonly used to develop a regularized regression model while selecting candidate predictor variables on a time-to-event outcome in high-dimensional data. However, these selection methods focus
Shaima Belhechmi, Riccardo De Bin, Federico Rotolo, Stefan Michiels   +3 more
doaj   +1 more source

Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine

BMC Bioinformatics, 2023
Background The research of biomarker-treatment interactions is commonly investigated in randomized clinical trials (RCT) for improving medicine precision. The hierarchical interaction constraint states that an interaction should only be in a model if its
Shaima Belhechmi, Gwénaël Le Teuff, Riccardo De Bin, Federico Rotolo, Stefan Michiels   +4 more
doaj   +1 more source

Minimax Group Fairness in Strategic Classification

2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
In strategic classification, agents manipulate their features, at a cost, to receive a positive classification outcome from the learner's classifier. The goal of the learner in such settings is to learn a classifier that is robust to strategic manipulations.
Emily Diana, Saeed Sharifi-Malvajerdi, Ali Vakilian   +2 more
openaire   +2 more sources

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source