Results 191 to 200 of about 958,387 (284)

Changes in Waveguiding Cone Photoreceptors and Color Vision in Patients With Diabetes Mellitus. [PDF]

open access: yesInvest Ophthalmol Vis Sci
Vaughan M   +17 more
europepmc   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng   +17 more
wiley   +1 more source

Response of Patients with Color Vision Defects to Worth 4-Dot and Duochrome Tests. [PDF]

open access: yesHealthcare (Basel)
Almustanyir A   +9 more
europepmc   +1 more source

Endometrial Epithelial Lactate Deficiency Drives CD8+ T‐Cells Dysregulation in Unexplained Recurrent Implantation Failure

open access: yesAdvanced Science, EarlyView.
Unexplained recurrent implantation failure (RIF) represents a significant clinical challenge. Our results demonstrate that reduced lactate production in the RIF endometrium impairs the suppression of cytotoxic CD8+ T‑cells, allowing their proliferation and thereby disrupting the local immune balance essential for successful embryo implantation.
Yuanlin He   +18 more
wiley   +1 more source

Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

open access: yesAdvanced Science, EarlyView.
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini   +8 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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