Results 151 to 160 of about 122,434 (251)

Human-AI Interaction in Kidney Transplant Decision Support Systems: Qualitative Study of Patient and Support Person Expectations. [PDF]

J Med Internet Res
Sassi Z, Eickmann S, Roller R, Osmanodja B, Spencker JJ, Ömeroğlu ÖE, Burchardt A, Hahn M, Dabrock P, Möller S, Budde K, Herrmann A.   +11 more
europepmc   +1 more source

Tackling cancer stemness with nanotechnology in the era of precision medicine

BMEMat, EarlyView.
Precise customization of nanoparticles (NPs) enables active targeting of cancer stem cells (CSCs), thereby improving drug delivery and therapeutic efficacy. NP‐based probing enhances CSC detection through imaging and liquid biopsy, whereas diverse therapeutic payloads improve therapeutic outcomes.
Shaolei Guo, Shun Yao, Lihui Meng, Chunyuan Chen, Yuechu Lucinda Lu, Rong Lu, Kashif Rafiq Zahid, Umar Raza, Qingzhi Wu, Wenli Chen   +9 more
wiley   +1 more source

WCN25-910 CLINICAL AND HISTOPATHOLOGICAL CHARACTERISTICS AND OUTCOMES OF PRIMARY IMMUNE-COMPLEX-MEDIATED MEMBRANOPROLIFERATIVE GLOMERULONEPHRITIS IN CHILDREN

Kidney International Reports
Svetlana Papizh, Ekaterina Stolyarevich, Larisa Prikhodina   +2 more
doaj   +1 more source

Leveraging ICT Tools to Improve Kidney Health: A Comprehensive Review of Innovations in Nephrology. [PDF]

Healthcare (Basel)
Mata-Lima A, Serrano-Olmedo JJ, Paquete AR.   +2 more
europepmc   +1 more source

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging

Clinical Anatomy, EarlyView.
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko   +13 more
wiley   +1 more source

Evaluation of segmentation accuracy and the improvement of time effectiveness using deep learning-based segmentation in ¹⁷⁷Lu-DOTATATE dosimetry. [PDF]

EJNMMI Phys
Nakaichi T, Shimizu Y, Nakamura S, Shuto Y, Kasai Y, Shishido A, Kunito K, Nakayama H, Takemori M, Kawamura M, Chiba T, Okamoto H, Kashihara T, Igaki H, Ito K.   +14 more
europepmc   +1 more source

Photogrammetric Reconstruction of 3D Human Anatomical Structures and Augmented Reality via Smartphone Technology

Clinical Anatomy, EarlyView.
ABSTRACT Limited access to cadavers necessitates the availability of digital resources for anatomy education. Smartphone‐based photogrammetry offers a promising solution for creating three‐dimensional (3D) and augmented reality (AR) models. This study compared two mobile photogrammetry applications (Qlone and Polycam) that have been used in modern ...
Sarita Phukwantong, Paphawarin Ma‐imjai, Benrita Jitaree, Athinan Prommahom   +3 more
wiley   +1 more source

Editorial: Cardiovascular-kidney-metabolic syndrome: interorgan crosstalk, pathophysiology, and therapeutics. [PDF]

Front Physiol
Ding W, Li H, Wang XH, Wang B.
europepmc   +1 more source

From Metabolic Crisis to Molecular Classification: Multidisciplinary Management of Synchronous Endometrioid Ovarian and Endometrial Carcinomas With Massive Tumor Burden

Cancer Nexus, EarlyView.
Managing massive tumor burden in synchronous endometrioid carcinomas. The graphical abstract summarizes the clinical pathway from presentation with massive ascites, pleural effusion, and critical metabolic abnormalities to multidisciplinary stabilization, surgical management, integrated morphologic–molecular classification, and shared decision‐making ...
Anna Homeniuk, Leena Abdalla, Sharon Fitzgerald   +2 more
wiley   +1 more source

Correction: A novel ensemble learning approach for grouping the state-of-the-art YOLOV10 and YOLOV11 models for kidney stone detection in CT and Ultrasound images. [PDF]

J Imaging Inform Med
Mayya AM, Alkayem NF, Alkayem NF.
europepmc   +1 more source