Artificial Intelligence for Bone: Theory, Methods, and Applications
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 +3 more
wiley +1 more source
Investigating the Effect of Intramuscular Dexamethas on Duration of Labor in Post Date Pregnancy
Introduction: One of the problems in midwifery is labor induction in the cases which the termination of pregnancy is necessary. Thus, the methods for cervical ripening and labor induction have always been taken into consideration.
L Hajivandi +4 more
doaj
Association between fetal position at onset of labor and mode of delivery: a prospective cohort study [PDF]
Abdul Muati Ahmad +5 more
openalex +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Digital Agriculture: Past, Present, and Future
Digital agriculture integrates Internet of Things, artificial intelligence, and blockchain to enhance efficiency and sustainability in farming. This review outlines its evolution, current applications, and future directions, highlighting both technological advances and key challenges for global implementation.
Xiaoding Wang +3 more
wiley +1 more source
Ultrasonic characteristics of the cervix in pregnant women before induced labor [PDF]
M.L. Tesakova1, D.D. Tesakova2,3 1Institute of Training and Retraining of Healthcare Professionals, Belarus State Medical University, Minsk, Republic of Belarus 2Russian Medical Academy of Continuous Professional Education ...
M.L. Tesakova, D.D. Tesakova
doaj
A Retrospective Review of Neonatal Sepsis among GBS-Colonized Women Undergoing Planned Cesarean Section after Labor Onset or Rupture of Membranes. [PDF]
Yahya FB, Hathcock MA.
europepmc +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Disentangling Coincident Cell Events Using Deep Transfer Learning and Compressive Sensing
Overlapping cells during detection distort single‐cell measurements and reduce diagnostic accuracy. A hybrid framework combining a fully convolutional neural network with compressive sensing to disentangle overlapping signals directly from raw time‐series data is presented.
Moritz Leuthner +2 more
wiley +1 more source

