Results 61 to 70 of about 15,843,136 (243)

Pretrained blastocyst detection, clinical pregnancy prediction, live birth prediction models

Blastocysts detection, clinical pregnancy prediction, live birth prediction models (keras) pretrained on post-warmed blastocysts static images.
Lu Yu (14210723)
core   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito, Ryuichi Yoshimura, Takaki Yamauchi, Yuta Funakoshi, Hirotaka Sonoda, Seiji Kobayashi, Hiroyuki Terawaki, Takafumi Ito   +7 more
wiley   +1 more source

Clinical Prediction Models for Contact X‐Ray Brachytherapy in Managing Rectal Cancers: A Scoping Review

Cancer Medicine
Background Currently, there are no clinically predictive models that can prognosticate the response of rectal cancers to Contact X‐ray brachytherapy (CXB).
Muneeb Ul Haq, D. Mark Pritchard, Arthur Sun Myint, Muhammad Ahsan Javed, Carrie A. Duckworth, Ngu Wah Than, Laura J. Bonnett, David M. Hughes   +7 more
doaj   +1 more source

A roadmap to implementing machine learning in healthcare: from concept to practice

Frontiers in Digital Health
BackgroundThe adoption of machine learning (ML) has been slow within the healthcare setting. We launched Pediatric Real-world Evaluative Data sciences for Clinical Transformation (PREDICT) at a pediatric hospital.
Adam Paul Yan, Adam Paul Yan, Lin Lawrence Guo, Jiro Inoue, Santiago Eduardo Arciniegas, Emily Vettese, Agata Wolochacz, Nicole Crellin-Parsons, Brandon Purves, Steven Wallace, Azaz Patel, Medhat Roshdi, Karim Jessa, Karim Jessa, Bren Cardiff, Lillian Sung, Lillian Sung, Lillian Sung   +17 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Correlation between coronary calcification and cardiac structure in non‐dialysis patients with chronic kidney disease

ESC Heart Failure
Aims We aim to explore the correlation between coronary artery calcification (CAC) score (CACS) and cardiac structure and function in chronic kidney disease (CKD) patients, create a clinical prediction model for severe CAC associated with cardiac ...
Siyi Rao, Mengjie Weng, Ruoshan Lian, Yongjie Zhuo, Jiaqun Lin, Danyu You, Jiong Cui, Yi Chen, Jianxin Wan   +8 more
doaj   +1 more source

Clinical Prediction Models Based on Traditional Methods and Machine Learning for Predicting First Stroke: Status and Prospects

Xiehe Yixue Zazhi
Stroke ranks as the third leading cause of death and the fourth leading cause of disability worldwide. Its high disability rate and prolonged recovery period not only severely impact patients' quality of life but also impose a significant burden on ...
ZHANG Zijiao, DING Shunjing, ZHAO Di, LIANG Jun, LEI Jianbo   +4 more
doaj   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Clinical Prediction Models for Peri-Implantitis Through an Immunopathological Lens: A Systematic Review and Functional Meta-Synthesis of Machine Learning and Conventional Approaches

Immuno
Peri-implantitis is a chronic inflammatory condition driven by dysregulated host immune responses, yet clinical risk assessment continues to rely on routinely collected clinical indicators. Clinical prediction models, including machine learning-based and
Carlos M. Ardila, Eliana Pineda-Vélez, Anny M. Vivares-Builes   +2 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source