Results 201 to 210 of about 33,934 (312)

Explainable machine-learning prediction of overall and cancer-specific survival in adult triple-negative breast cancer using SEER: a comparative study of nomograms and random survival forests. [PDF]

Transl Cancer Res
Zhang Y, Dou Y, An C, Liu T, Shao T, Yang W, Guo W, Song P.   +7 more
europepmc   +1 more source

Development of a nomogram for sperm retrieval at microTESE for idiopathic non‐obstructive azoospermia in a multi‐center cohort study

Andrology, Volume 14, Issue 5, Page 1202-1208, July 2026.
Abstract Background Non‐obstructive azoospermia (NOA) affects approximately 10% of infertile men and represents a major challenge in assisted reproductive technology (ART). A model that includes histological variants could be helpful in predicting sperm retrieval rate (SRR) after microdissection testicular sperm extraction (mTESE) in patients affected ...
Giorgio Ivan Russo, Edoardo Pozzi, Fausto Negri, Marco Falcone, Emanuele Zupo, Mirko Preto, Maria Giovanna Asmundo, Sandrine Chamayou, Murat Dursun, Ateş Kadıoğlu, Andrea Salonia   +10 more
wiley   +1 more source

Nodal maximum standardised uptake value improves PSMA‐PET/CT‐based nodal staging in intermediate‐ and high‐risk prostate cancer

BJU International, Volume 138, Issue 1, Page 133-143, July 2026.
Objectives To evaluate whether nodal maximum standardised uptake value (SUVmax) improves the positive predictive value (PPV) of prostate‐specific membrane antigen (PSMA) positron emission tomography (PET)/computerised tomography (CT) for detecting lymph node invasion (LNI) in prostate cancer (PCa), and to develop clinical decision tools to guide ...
Alexandra S. Bruins Slot, Vera Sweere, Joris G. Heetman, Rick Hermsen, Lieke Wever, Jules Lavalaye, Maarten Vinken, Clinton D. Bahler, Mark Tann, Claudia Kesch, Tugce Telli, Wolfgang P. Fendler, Peter Ka‐Fung Chiu, Kwan Kit Wu, Fabio Zattoni, Laura Evangelista, Francesco Ceci, Marcin Miszczyk, Pawel Rajwa, Akihiro Matsukawa, Tamás Fazekas, Francesco Barletta, Alberto Briganti, Francesco Montorsi, Giorgio Gandaglia, Jean‐Paul A. Van Basten, Harm H. E. Van Melick, Roderick C. N. Van den Bergh, Giancarlo Marra, Timo F. W. Soeterik, Matthijs J. V. Scheltema, on behalf of the European Association of Urology‐Young Academic Urologists (EAU‐YAU) Prostate Cancer Working Group   +31 more
wiley   +1 more source

Prognostic value of Node-RADS scoring in stage IIICr cervical cancer: development and validation of novel nomograms. [PDF]

Insights Imaging
Jiang L, Ma S, Du Q, Lv J, Guo M, Lin H, Que Y, Gao T, Liang S, Wu F, Zhang Y.   +10 more
europepmc   +1 more source

Urologist and radiologist contributions to variation in prostate cancer detection at fusion biopsy

BJU International, Volume 138, Issue 1, Page 156-163, July 2026.
Objectives To quantify the relative contribution of radiologists and urologists to variability in clinically significant prostate cancer (CSPC) detection across multiparametric magnetic resonance imaging (mpMRI)‐guided prostate fusion biopsies and to determine whether this differed across Prostate Imaging‐Reporting And Data System (PI‐RADS) categories.
Daniel Triner, Kevin B. Ginsburg, Ana Moser, Corinne Labardee, Howard Korman, Jason Domina, Michael L. Cher, James Peabody, Alice Semerjian, Andrei Purysko, Arvin K. George, Tudor Borza, Andrew E. Krumm, for the Michigan Urological Surgery Improvement Collaborative (MUSIC)   +13 more
wiley   +1 more source

Nomograms for the prognosis prediction model of early-stage triple-negative breast cancer - based on SEER database. [PDF]

Future Sci OA
Wang Y, Li F.
europepmc   +1 more source

FASLG Derived from Fibroblasts in Hydroxyapatite‐Rich Microenvironment Induces Urothelial Anoikis to Trigger Randall's Plaque Exposure

Advanced Science, Volume 13, Issue 34, 19 June 2026.
Randall's plaques (RP) serve as the nidus for calcium oxalate (CaOx) kidney stones. The current study reveals that hydroxyapatite (HAP) crystals activate the THY1–GSK3α/β–β‐catenin axis in renal interstitial fibroblasts (hRIFs), inducing FASLG secretion.
Minghui Liu, Maolan Wu, Meng Gao, Yongchao Li, Miao Yuan, Zhangcheng Liao, Zhi Liu, Yizhou Wang, Yu Cui, Jinbo Chen, Cheng He, Zhiyong Chen, Feng Zeng, Hequn Chen, Zewu Zhu   +14 more
wiley   +1 more source

Correction: Comparing the performance of radiomics, nomograms, machine learning, and large language models in predicting 28-day mortality in severe community-acquired pneumonia patients. [PDF]

Front Immunol
Lin T, Wan H, Liang Y, Ming J, Lu J, Guo Z.   +5 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, Volume 2, Issue 3, June 2026.
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, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Clinical characteristics, prognosis, and nomograms for lung invasive mucinous adenocarcinoma with distant metastasis: a population-based study. [PDF]

Transl Cancer Res
Luo X, Chen Q.
europepmc   +1 more source