Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

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Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida.

Although synthetic biology can produce valuable chemicals in a renewable manner, its progress is sti...

Predicting mortality and risk factors of sepsis related ARDS using machine learning models.

Sepsis related acute respiratory distress syndrome (ARDS) is a common and serious disease in clinic....

EffiCOVID-net: A highly efficient convolutional neural network for COVID-19 diagnosis using chest X-ray imaging.

The global COVID-19 pandemic has drastically affected daily life, emphasizing the urgent need for ea...

Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction.

The accurate prediction of the host of influenza viruses is a significant challenge in bioinformatic...

Multiscale metal-based nanocomposites for bone and joint disease therapies.

Bone and joint diseases are debilitating conditions that can result in significant functional impair...

Large-Scale Deep Learning-Enabled Infodemiological Analysis of Substance Use Patterns on Social Media: Insights From the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic intensified the challenges associated with mental health and subst...

Design and Synthesis of Magnolol Derivatives Using Integrated CNNs and Pharmacophore Approaches for Enhanced Parasiticidal Activity in Aquaculture.

Aquaculture is a rapidly growing sector of global food production, playing a vital role in poverty a...

Genome evolution of Kaposi sarcoma-associated herpesvirus (KSHV).

UNLABELLED: Kaposi sarcoma (KS) is the most common cancer in people living with HIV (PLWH), particul...

Tuberculosis detection using few shot learning.

Tuberculosis (TB), a contagious disease, significantly affects lungs functioning. Amongst multiple d...

Barriers to the widespread adoption of diagnostic artificial intelligence for preventing antimicrobial resistance.

Currently, antimicrobial resistance (AMR) poses a major public health challenge. The emergence of AM...

Vaccinology in the artificial intelligence era.

Artificial intelligence (AI) has already transformed vaccine antigen design and could transform the ...

Aptamer-functionalized graphene quantum dots combined with artificial intelligence detect bacteria for urinary tract infections.

OBJECTIVES: Urinary tract infection is one of the most prevalent forms of bacterial infection, and p...

Constructing a screening model to identify patients at high risk of hospital-acquired influenza on admission to hospital.

OBJECTIVE: To develop a machine learning (ML)-based admission screening model for hospital-acquired ...

Changes in recreational drug use, reasons for those changes and their consequence during and after the COVID-19 pandemic in the UK.

Changes in drug use in the general population during the COVID-19 pandemic and their long-term conse...

Using pathology images and artificial intelligence to identify bacterial infections and their types.

Bacterial infections pose a significant biosafety concern, making early and accurate diagnosis essen...

Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains.

Newcastle disease virus (NDV) continues to present a significant challenge for vaccination due to it...

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