Infectious Disease

Flu & URI

Latest AI and machine learning research in flu & uri for healthcare professionals.

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Reliability of large language models in managing odontogenic sinusitis clinical scenarios: a preliminary multidisciplinary evaluation.

PURPOSE: This study aimed to evaluate the utility of large language model (LLM) artificial intellige...

A facile approach to preparing personalized cancer vaccines using iron-based metal organic framework.

BACKGROUND: Considering the diversity of tumors, it is of great significance to develop a simple, ef...

Generative Language Models and Open Notes: Exploring the Promise and Limitations.

Patients' online record access (ORA) is growing worldwide. In some countries, including the United S...

Phytochemical and biological studies of aerial parts ethanol extract supported by molecular docking study.

has traditionally been used as a poultice to alleviate local inflammation and painful diseases. Thi...

Lassa fever cases and mortality in Nigeria: Quantile Regression vs. Machine Learning Models.

Lassa fever (LF) is caused by the Lassa fever virus (LFV). It is endemic in West Africa, of which % ...

Serological and Molecular Characterization of Occult HBV Infection in Blood Donors from South Italy.

Despite good vaccine coverage and careful blood donor selection policies, hepatitis B virus (HBV) is...

Reclassification of ASFV into 7 Biotypes Using Unsupervised Machine Learning.

In 2007, an outbreak of African swine fever (ASF), a deadly disease of domestic swine and wild boar ...

Nanoisland SERS-Substrates for Specific Detection and Quantification of Influenza A Virus.

Surface-enhanced Raman spectroscopy (SERS)-based aptasensors for virus determination have attracted ...

Regulatory effects of mangiferin on LPS-induced inflammatory responses and intestinal flora imbalance during sepsis.

Studies suggest that mangiferin (MAF) has good therapeutic effects on chronic bronchitis and hepatit...

Meteorological factors cannot be ignored in machine learning-based methods for predicting dengue, a systematic review.

In recent years, there has been a rapid increase in the application of machine learning methods abou...

potently inhibits the activity of SARS-CoV-2 3CL protease.

The ongoing coronavirus infectious disease (COVID-19) pandemic caused by severe acute respiratory sy...

Non-Contact Thermal and Acoustic Sensors with Embedded Artificial Intelligence for Point-of-Care Diagnostics.

This work involves exploring non-invasive sensor technologies for data collection and preprocessing,...

Isolation and Pathogenicity Analysis of a G5P[23] Porcine Rotavirus Strain.

(1) Background: Group A rotaviruses (RVAs) are the primary cause of severe intestinal diseases in pi...

Predicting COVID-19 Outcomes: Machine Learning Predictions Across Diverse Datasets.

Background The COVID-19 infection has spread rapidly since its emergence and has affected a large pa...

Structure-based approaches against COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic has had a major impact on human life. This review h...

Humoral Immune Responses after an Omicron-Adapted Booster BNT162b2 Vaccination in Patients with Lymphoid Malignancies.

To accommodate waning COVID-19 vaccine immunity to emerging SARS-CoV-2 variants, variant-adapted mRN...

Epidemiological and viral studies of rabies in Bali, Indonesia.

BACKGROUND AND AIM: Rabies has been endemic in Bali since 2009, and cases has recently increased. Un...

Predicting COVID-19 pandemic waves including vaccination data with deep learning.

INTRODUCTION: During the recent COVID-19 pandemics, many models were developed to predict the number...

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