HIV/AIDS

Using Machine Learning to Identify Patients at Risk of Acquiring HIV in an Urban Health System.

BACKGROUND: Effective measures exist to prevent the spread of HIV. However, the identification of pa...

Large Language Models in Nursing Education: State-of-the-Art.

This study explores the integration of Large Language Models (LLMs) into nursing education, highligh...

Unveiling the Potential of ChatGPT and YOLOv7 for Evaluating Children's Emotions Using Their Artistic Expressions.

Recent advancements in large language models (LLMs) have sparked considerable interest in their pote...

AI-based IsAb2.0 for antibody design.

Therapeutic antibody design has garnered widespread attention, highlighting its interdisciplinary im...

HTINet2: herb-target prediction via knowledge graph embedding and residual-like graph neural network.

Target identification is one of the crucial tasks in drug research and development, as it aids in un...

BioM2: biologically informed multi-stage machine learning for phenotype prediction using omics data.

Navigating the complex landscape of high-dimensional omics data with machine learning models present...

Precision Nutrition Management in Continuous Care: Leveraging AI for User-Reported Dietary Data Analysis.

A As health technology advances, this study aims to develop an innovative nutritional intake managem...

Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review.

Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice a...

An Explainable Transfer Learning Method for EEG-based Seizure Type Classification.

Epilepsy, traditionally conceptualized as a neurological disorder characterized by a persistent incl...

Unravelling tumour cell diversity and prognostic signatures in cutaneous melanoma through machine learning analysis.

Melanoma, a highly malignant tumour, presents significant challenges due to its cellular heterogenei...

Characterization of unique pattern of immune cell profile in patients with nasopharyngeal carcinoma through flow cytometry and machine learning.

In patients with nasopharyngeal carcinoma (NPC), the alteration of immune responses in peripheral bl...

Results From a Pilot Study of an Automated Directly Observed Therapy Intervention Using Artificial Intelligence With Conditional Economic Incentives Among Young Adults With HIV.

BACKGROUND: Despite improvements in antiretroviral therapy (ART) availability, suboptimal adherence ...

HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses.

While significant strides have been made in predicting neoepitopes that trigger autologous CD4+ T ce...

Identification of disease-specific genes related to immune infiltration in nonalcoholic steatohepatitis using machine learning algorithms.

To identify disease signature genes associated with immune infiltration in nonalcoholic steatohepati...

Machine Learning Links T-cell Function and Spatial Localization to Neoadjuvant Immunotherapy and Clinical Outcome in Pancreatic Cancer.

Tumor molecular data sets are becoming increasingly complex, making it nearly impossible for humans ...

[A study of cognitive impairment quantitative assessment method based on gait characteristics].

Alzheimer's disease (AD) is a common and serious form of elderly dementia, but early detection and t...

'Without these tools, I'd be lost': how generative AI aids in accessibility.

MA-PEP: A novel anticancer peptide prediction framework with multimodal feature fusion based on attention mechanism.

AntiCancer Peptides (ACPs) have emerged as promising therapeutic agents for cancer treatment. The ti...

[CHARACTERIZATION OF THE ADAPTIVE IMMUNE REPERTOIRE USING NEXT GENERATION SEQUENCING: RECENT DISCOVERIES IN THE FIELD OF PRIMARY IMMUNODEFICIENCY, AND THE UPCOMING FUTURE].

A powerful adaptive immune system, which includes cellular (T lymphocytes) and humoral (B lymphocyte...

[ChatGPT: aid to medical ethics decision making?].

BACKGROUND: Physicians have to make countless decisions every day. The medical, ethical and legal as...

A Survey of Recent Practice of Artificial Life in Visual Art.

Nowadays, interdisciplinary fields between Artificial Life, artificial intelligence, computational b...