AIMC Topic: Humans

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In Search of Beautiful Molecules: A Perspective on Generative Modeling for Drug Design.

Journal of chemical information and modeling
Generative modeling with artificial intelligence (GenAI) offers an emerging approach to discover novel, efficacious, and safe drugs by enabling the systematic exploration of chemical space and to design molecules that are synthesizable while also hav...

Adherence to Updated Race and Ethnicity Reporting Guidance in Ophthalmology Journals.

JAMA network open
IMPORTANCE: The updated race and ethnicity reporting guidelines published in the AMA Manual of Style: A Guide for Authors and Editors highlight the importance of using specific racial and ethnic categories rather than generalized terms, promoting inc...

Micrometastasis and Isolated Tumor Cells in Oral Squamous Cell Carcinoma: Refining Nodal Staging with Emerging Technologies.

Head and neck pathology
PURPOSE: Cervical lymph node metastasis significantly influence prognosis in oral squamous cell carcinoma (OSCC), guiding staging, treatment decisions, and overall survival. Sentinel lymph node biopsy (SLNB) offers a minimally invasive approach for e...

Differentiation of benign and malignant oral lesions through surface texture analysis and SVM modeling.

Clinical oral investigations
OBJECTIVES: To evaluate the diagnostic potential of surface texture features extracted from clinical images in objectively differentiating benign from malignant oral lesions, and to validate classification performance of a Support Vector Machine (SVM...

Assessing the accuracy, repeatability, and consistency of ChatGPT 4o in treatment planning for tooth-supported fixed prostheses: a comparative analysis of simple and complex clinical cases.

Clinical oral investigations
OBJECTIVES: The aim of this study is to evaluate the effectiveness of ChatGPT 4o in planning tooth-supported fixed prostheses by examining the accuracy, repeatability, and consistency of its responses across various prosthodontic cases.

Single-cell sequencing analysis and multiple machine learning methods identified immune-associated SERPINB1 and CPEB4 as novel biomarkers for COVID-19-induced ARDS.

Die Naturwissenschaften
Acute respiratory distress syndrome (ARDS) is a life-threatening complication of COVID-19, often resulting in respiratory failure and high mortality. Identifying effective molecular biomarkers is crucial for understanding its pathogenesis and improvi...

Visual analysis of research hot topics and trends of clinical decision support system based on CiteSpace.

Langenbeck's archives of surgery
BACKGROUND: Clinical decision support system (CDSS) mainly refers to a computer application system that uses relevant and systematic clinical knowledge and patients' basic information, as well as medical information, to strengthen medical-related dec...

Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning Models.

Neuroinformatics
Harmonizing multisite functional magnetic resonance imaging (fMRI) data is crucial for eliminating site-specific variability that hinders the generalizability of machine learning models. Traditional harmonization techniques, such as ComBat, depend on...

Raman Spectroscopy and Machine Learning in the Diagnosis of Breast Cancer.

Lasers in medical science
The most prevalent cancer in women worldwide, breast cancer, greatly benefits from early identification for better prognoses. But traditional diagnostic techniques, like biopsies and mammograms, can require invasive procedures and lack accuracy. The ...

Functional Near-Infrared Spectroscopy in Schizophrenia Research: Progress, Challenges, and Future Directions.

Medical science monitor : international medical journal of experimental and clinical research
This review comprehensively examines the application and progress of functional near-infrared spectroscopy (fNIRS) in schizophrenia research. Schizophrenia is a complex neuropsychiatric disorder characterized by extensive dysfunction in the prefronta...