Results 241 to 250 of about 569,540 (328)
A deep‐learning system (DLS) is developed for the automatic detection of spinal metastases and the evaluation of associated features using computed tomography imaging. A multireader, multicase analysis and a prospective multicenter cohort study are conducted to evaluate the diagnostic performance.
Zhiyu Wang+16 more
wiley +1 more source
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding+5 more
wiley +1 more source
Researchers develop clinlabomics assisted for cancer identification, an artificial intelligence‐powered system using routine clinical lab data to detect and identify 10 cancer types. Tested on 19 199 individuals, it achieves 90.39% sensitivity and 82.41% specificity in cancer detection, with 72.57% accuracy in identifying specific cancer types ...
Bowen Zhang+9 more
wiley +1 more source
ABSTRACT Disease Overview Primary cutaneous lymphomas are a rare and heterogeneous group of extranodal lymphomas that require the integration of clinical and histopathologic data for classification and treatment. Diagnosis Diagnosis and disease classification is based on histopathologic review and immunohistochemical staining of an appropriate skin ...
Alexandra C. Hristov+2 more
wiley +1 more source
Association Between Moraxella catarrhalis and Nodular Lymphocyte‐Predominant Hodgkin Lymphoma
ABSTRACT Nodular lymphocyte‐predominant Hodgkin Lymphoma (NLPHL) may be an antigen‐driven malignancy. Recent studies demonstrated that in NLPHL patients, lymphoma B‐cell receptor can bind proteins derived from Moraxella catarrhalis (MC) and Rothia mucilaginosa (RM). We examined whether MC and RM can be detected in NLPHL lymph nodes.
Izidore S. Lossos+7 more
wiley +1 more source
Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics
ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will ...
Benjamin D. Solomon+20 more
wiley +1 more source
Survivorship of Individuals With Double Heterozygosity for Achondroplasia and Type 2 Collagenopathy
ABSTRACT Historically, double heterozygosity, or a diagnosis of two separate, dominant genetic conditions, was often thought to be lethal in individuals with autosomal dominant skeletal dysplasias. In previously published studies of individuals with dual dysplasia diagnoses of achondroplasia and type 2 collagenopathy, infants died of respiratory ...
Valerie R. Schwartz+3 more
wiley +1 more source
ABSTRACT Genetic disorders commonly share features such as developmental delays, cognitive impairment, and behavioral challenges, yet many conditions also present unique dysmorphic features that distinguish them. Performing a thorough medical and family history and a detailed physical exam with attention to dysmorphic features is often the first step ...
Natasha L. Rudy+15 more
wiley +1 more source
ABSTRACT Objectives To evaluate the impact of the extent of resection and adjuvant radiotherapy (RT) on treatment outcomes in patients with early‐stage olfactory neuroblastoma (ONB) without definite dural invasion. Methods A retrospective review of ONB cases from two centers within a single institution between 1992 and 2023 was performed ...
Tae‐Bin Won+8 more
wiley +1 more source