Results 71 to 80 of about 71,119 (185)

Results and Exploratory Biomarker Analyses of a Phase II Study CHANGEABLE: Combination of PD‐1 Inhibitor and Niraparib in GErm‐Line‐mutAted Metastatic Breast Cancer

MedComm, Volume 7, Issue 4, April 2026.
This phase II trial evaluated the efficacy and safety of niraparib combined with HX008 in metastatic breast cancer (MBC) patients with germline DNA damage response (DDR) gene mutations. This chemotherapy‐free regimen demonstrates promising efficacy and a tolerable safety profile in MBC patients with germline DDR mutations, providing a novel therapeutic
Jian Zhang, Yiqun Du, Yanchun Meng, Yizi Jin, Mingxi Lin, Xuchen Shao, Xiaojun Liu, Yuxin Mu, Yun Liu, Zhen Hu   +9 more
wiley   +1 more source

Robust Intensity Modulated Proton Therapy (IMPT) Increases Estimated Clinical Benefit in Head and Neck Cancer Patients. [PDF]

PLoS ONE, 2016
PURPOSE:To compare the clinical benefit of robust optimized Intensity Modulated Proton Therapy (minimax IMPT) with current photon Intensity Modulated Radiation Therapy (IMRT) and PTV-based IMPT for head and neck cancer (HNC) patients.
Lisanne V van Dijk, Roel J H M Steenbakkers, Bennie ten Haken, Hans Paul van der Laan, Aart A van 't Veld, Johannes A Langendijk, Erik W Korevaar   +6 more
doaj   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

Minimax Ridge Regression Estimation. [PDF]

The Annals of Statistics, 1977
The technique of ridge regression, first proposed by Hoerl and Kennard, has become a popular tool for data analysts faced with a high degree of multicollinearity in their data. By using a ridge estimator, one hopes to both stabilize one's estimates (lower the condition number of the design matrix) and improve upon the squared error loss of the least ...
openaire   +2 more sources

Generalized hierarchical minimax theorems for set-valued mappings

Journal of Inequalities and Applications, 2016
In this paper, we discuss generalized hierarchical minimax theorems with four set-valued mappings and we propose some scalar hierarchical minimax theorems and generalized hierarchical minimax theorems in topological spaces.
Haijun Wang
doaj   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, Volume 38, Issue 18, 25 March 2026.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Inspection Program Development for an Aircraft Fleet and an Airline on the Basis of the Acceptance Fatigue Test Result

Transport and Telecommunication, 2015
An inspection interval planning is considered in order to limit the probability of any fatigue failure (FFP) in a fleet of N aircraft (AC) and to provide an economical effectiveness of airline (AL) under the limitation of fatigue failure rate (FFR).
Paramonov Yuri, Tretyakov Sergey, Hauka Maris   +2 more
doaj   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, Volume 13, Issue 14, 9 March 2026.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

Are Condorcet and minimax voting systems the best?

, 2020
For decades, the minimax voting system was well known to experts on voting systems, but was not widely considered to be one of the best systems. But in recent years, two important experts, Nicolaus Tideman and Andrew Myers, have both recognized minimax ...
Darlington, Richard B.
core  

Advances in Generative Models for Accelerated Discovery of New Materials

cScience, Volume 2, Issue 1, March 2026.
ABSTRACT The discovery of new materials can drive tremendous social and technological progress. However, the vastness of the material space makes comprehensive exploration computationally infeasible. This paper reviews the inverse design methods of generative models in materials science, aiming to discover customized materials based on specific ...
Yuan Jiang, Jinshan Li, Zhuoyue Yang, Ningxin Hou, Jun Wang, Bin Tang, Ruihao Yuan   +6 more
wiley   +1 more source