Latest AI and machine learning research in work force for healthcare professionals.
Tumor documentation in Germany is largely done manually, requiring reading patient records and ent...
Large Language Models (LLMs) have exhibited remarkable capabilities in clinical scenarios. Despite...
This paper introduces a promising alternative method for training Generative Adversarial Networks ...
Accurate classification of clinical text often requires fine-tuning pre-trained language models, a...
Cross-modal retrieval maps data under different modality via semantic relevance. Existing approach...
The success of deep learning (DL) is often achieved with large models and high complexity during b...
Accurate human posture classification in images and videos is crucial for automated applications a...
The widespread adoption of facial recognition (FR) models raises serious concerns about their pote...
Existing methods for code generation use code snippets as seed data, restricting the complexity an...
In this work, we build upon the offline reinforcement learning algorithm TD7, which incorporates S...
The crisis of mental health issues is escalating. Effective counseling serves as a critical lifeli...
Tongue diagnosis is a vital tool in Western and Traditional Chinese Medicine, providing key insigh...
Large language models (LLMs) are increasingly attracting the attention of healthcare professionals...
Disease name normalization is an important task in the medical domain. It classifies disease names...
Accurate prediction of the temporal dynamics of biological systems is crucial for informing timely a...
Compiling and characterising the diversity of bacterial pathogens of humans is a critical challenge ...
Functional RNAs perform diverse catalytic roles, yet natural sequences represent only a narrow subse...
Diversity exists throughout biology, playing an important role in maintaining robustness and stabili...
Bacteria use antagonistic interbacterial weapons such as polymorphic toxin secretion systems (TSS) t...
Given the well-established structural and functional changes in the aging brain, it is widely assume...
Training spiking recurrent neural networks (SRNNs) presents significant challenges compared to stand...