Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Can open source large language models be used for tumor documentation in Germany? -- An evaluation on urological doctors' notes

Tumor documentation in Germany is largely done manually, requiring reading patient records and ent...

Med-R$^2$: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based Medicine

Large Language Models (LLMs) have exhibited remarkable capabilities in clinical scenarios. Despite...

A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs

This paper introduces a promising alternative method for training Generative Adversarial Networks ...

Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation

Accurate classification of clinical text often requires fine-tuning pre-trained language models, a...

TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval

Cross-modal retrieval maps data under different modality via semantic relevance. Existing approach...

Coded Deep Learning: Framework and Algorithm

The success of deep learning (DL) is often achieved with large models and high complexity during b...

Exploring the Use of Contrastive Language-Image Pre-Training for Human Posture Classification: Insights from Yoga Pose Analysis

Accurate human posture classification in images and videos is crucial for automated applications a...

DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy

The widespread adoption of facial recognition (FR) models raises serious concerns about their pote...

EpiCoder: Encompassing Diversity and Complexity in Code Generation

Existing methods for code generation use code snippets as seed data, restricting the complexity an...

SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks

In this work, we build upon the offline reinforcement learning algorithm TD7, which incorporates S...

Sentiment-guided Commonsense-aware Response Generation for Mental Health Counseling

The crisis of mental health issues is escalating. Effective counseling serves as a critical lifeli...

Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis

Tongue diagnosis is a vital tool in Western and Traditional Chinese Medicine, providing key insigh...

Data Augmentation Techniques for Chinese Disease Name Normalization

Disease name normalization is an important task in the medical domain. It classifies disease names...

Selecting Synthetic Data for Successful Simulation-Based Transfer Learning in Dynamical Biological Systems

Accurate prediction of the temporal dynamics of biological systems is crucial for informing timely a...

Large Language Model-assisted text mining reveals bacterial pathogen diversity

Compiling and characterising the diversity of bacterial pathogens of humans is a critical challenge ...

Hybrid Generative Model: Bridging Machine Learning and Biophysics to Expand RNA Functional Diversity

Functional RNAs perform diverse catalytic roles, yet natural sequences represent only a narrow subse...

Intrinsic plasticity underlies malleability of neural network heterogeneity

Diversity exists throughout biology, playing an important role in maintaining robustness and stabili...

Metagenomic polymorphic toxin effector and immunity profiling predicts microbiome development and disease-related dysbiosis

Bacteria use antagonistic interbacterial weapons such as polymorphic toxin secretion systems (TSS) t...

Cognitive training effects are shaped more by individual brain dynamics than age – Evidence from younger and older women

Given the well-established structural and functional changes in the aging brain, it is widely assume...

FORCE trained spiking networks do not benefit from faster learning while parameter matched rate networks do

Training spiking recurrent neural networks (SRNNs) presents significant challenges compared to stand...

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