IEEE

Enhancing Sensitivity and Specificity in Diabetic Retinopathy Detection Using CNN-LSTM Models

Abstract: Early and accurate detection of diabetic retinopathy (DR), as the leading cause of blindness worldwide, is important to prevent blindness. We propose a hybrid Convolutional Neural Network ...

Radiopharm Theranostics Achieves Primary Endpoint In 90% of Patients At Second Interim Analysis of RAD 101 Phase 2b Imaging Trial in Brain Metastases

RAD 101 and evaluable at interim analysis achieved concordance with MRI imaging (the primary endpoint) First five patients with available data from six-month follow-up and biopsy show encouraging ...
Medscape

UTICalc Accurately IDs Urinary Tract Infection in Babies

Calculator could streamline assessment and standardize urine testing in febrile preverbal children in emergency departments.
BioSpace

Alamar Biosciences Launches NULISAseq™ Neuro 220 Panel, its largest precision proteomics panel with the sensitivity and specificity to advance neurological disease research

New panel expands coverage for Alzheimer’s and Parkinson’s diseases including 15 new biomarkers developed with support from The Michael J. Fox Foundation for Parkinson’s Research (MJFF) and 12 assays ...
IEEE

Specificity-Aware Federated Learning With Dynamic Feature Fusion Network for Imbalanced Medical Image Classification

Abstract: Recently, federated learning has become a powerful technique for medical image classification due to its ability to utilize datasets from multiple clinical clients while satisfying privacy ...
BMJ

2.21 The test-retest reliability, sensitivity and specificity of the SCAT-3 for sideline testing

Conclusions Symptoms, the SAC and the m-BESS have poor test-retest reliability. Symptoms have reasonable sensitivity and specificity for concussion but are subjective. The 3-word SAC and m-BESS are ...