AZoLifeSciences on MSN

Deep learning–based codon optimization framework boosts protein expression in E coli

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...

Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
Deep Learning with Yacine on MSN

How to use permutation testing for model validation in Scikit-Learn

Learn how to use permutation testing to validate your machine learning models using Sklearn. This video breaks down the process to help improve model reliability and performance.
EurekAlert!

AI-powered ECG analysis offers promising path for early detection of chronic obstructive pulmonary disease, says Mount Sinai researchers

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

AI-powered ECG analysis shows promise for early COPD detection

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
Morningstar

STUDIOSITY ACQUIRES NORVALID: VALIDATES LEARNING, NOT CHEATING

SYDNEY, Nov. 11, 2025 /PRNewswire/ -- Studiosity, the global edtech leader in pedagogically sound AI-for-Learning, announced the acquisition of Norvalid, a world leader in student self-validation of ...
The Lancet

Leveraging deep learning applied to chest radiograph images to identify individuals at high risk of chronic obstructive pulmonary disease: a retrospective model validation study

aCardiovascular Imaging Research Center (CIRC), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA bPulmonary and Critical Care Division, Massachusetts ...
IEEE

Safe Deep Reinforcement Learning for Energy Management of Electrified Vehicles: Optimal Action Filtering and Battery-in-the-Loop Validation

Abstract: Despite the promising performance of deep reinforcement learning (DRL)-based energy management systems (EMS) for electrified vehicles, persistent safety concerns regarding control actions ...
Frontiers

Development and validation of a deep learning algorithm for discriminating glioma recurrence from radiation necrosis on MRI

Purpose: Accurate differentiation between glioma recurrence and radiation necrosis is critical for the management of patients suspected of glioma recurrence following radiation therapy. This study ...
Frontiers

Advancement and independent validation of a deep learning-based tool for automated scoring of nail psoriasis severity using the modified nail psoriasis severity index

Objective: To improve and validate a convolutional neural network (CNN)-based model for the automated scoring of nail psoriasis severity using the modified Nail Psoriasis Severity Index (mNAPSI) with ...
ascopubs.org

Multi-site blinded validation of a deep learning approach for clinical-grade MSI/dMMR detection in colorectal cancer from H&E-stained pathology images.

Association between visceral adipose tissue radiodensity and overall survival among older adults with colorectal carcinoma. Blinded validation results of PPC with confidence intervals (CI) at 95%.
Scientific Research Publishing

Gulshan, V., Peng, L., Coram, M., Stumpe, M.C., Wu, D., Narayanaswamy, A., et al. (2016) Development and Validation of a Deep Learning Algorithm for Detection of Diabetic ...

ABSTRACT: Abstracting eye models from MRI images is critical in advancing medical imaging, particularly for clinical diagnostics. Current methods often struggle with accuracy and efficiency, ...