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Identifying and Reporting Dependent Adult abuse

Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.

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UFGraphFR: An attempt at a federated recommendation system based on user text characteristics

Federated learning has emerged as a key paradigm in privacy-preserving computing due to its "data ...

Balance Divergence for Knowledge Distillation

Knowledge distillation has been widely adopted in computer vision task processing, since it can ef...

Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation

Recommender systems aim to provide personalized item recommendations by capturing user behaviors d...

Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective

To preserve user privacy in recommender systems, federated recommendation (FR) based on federated ...

COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database

Retinal image registration is vital for diagnostic therapeutic applications within the field of op...

Neural Timescale of Adolescents Major Depressive Disorder

Adolescent major depressive disorder (MDD) is characterized by heterogeneous symptomatology and comp...

Screening and machine-learning assisted prediction of translation-enhancing peptides reducing ribosomal stalling in Escherichia coli

We previously reported that the nascent SKIK peptide enhances translation and alleviates ribosomal s...

Accurate detection and quantification of single-base m6A RNA modification using nanopore signals with multi-view deep learning

N6-methyladenosine (m6A) is a crucial epitranscriptomic mark. While Nanopore Direct RNA Sequencing (...

MechanoAge, a machine learning platform to identify individuals susceptible to breast cancer based on mechanical properties of single cells

Existing breast cancer risk models inadequately identify individuals at latent risk, particularly am...

A structure-informed evolutionary model for predicting viral immune escape and evolution

Persistent emergence of viral variants capable of evading host immunity constitutes a significant th...

A unified model of short- and long-term plasticity: Effects on network connectivity and information capacity

Activity-dependent synaptic plasticity is a fundamental learning mechanism that shapes connectivity ...

Refined shoulder kinematics via markerless bony landmark detection and acromial 3D shape using an RGB-D camera during hand-cycling

Biomechanical biofeedback has the potential to enhance rehabilitation by providing clinicians with o...

Pseudodynamics+: Reconstructing Population Dynamics from Time-Resolved Single Cell Landscapes with Physics Informed Neural Networks

Single-cell profiling provides snapshots of the heterogeneous states that characterise developmental...

Electronic Health Record-Based Prediction Models to Inform Decisions about HIV Pre-exposure Prophylaxis: A Systematic Review

Several clinical prediction models have been developed using electronic health records data to help ...

Systematic Exploration of Hospital Cost Variability: A Conformal Prediction-Based Outlier Detection Method for Electronic Health Records

Marked variability in inpatient hospitalization costs poses significant challenges to healthcare qua...

SPIRIT-CONSORT-TM: a corpus for assessing transparency of clinical trial protocol and results publications

Randomized controlled trials (RCTs) can produce valid estimates of the benefits and harms of therape...

The Rise of the Large Language Models (LLMs): Can They Truly Match Clinical and Data Science Experts in Clinical Trial Data Analysis?

Clinical trials provide evidence of the efficacy and safety of experimental treatment regimens. Anal...

Detecting papilloedema as a marker of raised intracranial pressure using artificial intelligence: a systematic review

Automated detection of papilloedema using artificial intelligence (AI) and retinal images acquired t...

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