Infectious Disease

Hepatitis

Latest AI and machine learning research in hepatitis for healthcare professionals.

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Integrative exome sequencing and machine learning identify MICB and interferon pathway genes as contributors to SSc risk.

OBJECTIVES: Systemic sclerosis (SSc) is a complex autoimmune disease with both known and unidentifie...

Unmet needs in autoimmune liver diseases.

Autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis are well-defin...

SARS-CoV-2: lessons in virus mutation prediction and pandemic preparedness.

The COVID-19 pandemic has prompted an unprecedented global response. In particular, extraordinary ef...

Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising v...

ModiDeC: a multi-RNA modification classifier for direct nanopore sequencing.

RNA modifications play a crucial role in various cellular functions. Here, we present ModiDeC, a dee...

Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat.

The N-heptad repeat (NHR) of the HIV-1 gp41 prehairpin intermediate (PHI) is an attractive potential...

iAVP-RFVOT: Identify Antiviral Peptides by Random Forest Voting Machine Learning with Unified Manifold Learning Embedded Features.

Viruses are transmitted through multiple routes and can cause a wide range of diseases. Antiviral pe...

Digital Pathology Quantification of the Continuum of Cirrhosis Severity in Human Liver Biopsies.

BACKGROUND AND AIMS: Liver biopsy is the gold standard for assessing fibrosis in cirrhotic livers, y...

A Deep Learning Model Based on High-Frequency Ultrasound Images for Classification of Different Stages of Liver Fibrosis.

BACKGROUND AND AIMS: To develop a deep learning model based on high-frequency ultrasound images to c...

Fast cortical thickness estimation using deep learning-based anatomy segmentation and diffeomorphic registration.

Accurately and efficiently estimating the cortical thickness from magnetic resonance images (MRIs) i...

GDRNPP: A Geometry-Guided and Fully Learning-Based Object Pose Estimator.

6D pose estimation of rigid objects is a long-standing and challenging task in computer vision. Rece...

Impact of Derivative Observations on Gaussian Process Machine Learning Potentials: A Direct Comparison of Three Modeling Approaches.

Machine learning (ML) potentials have become a well-established tool for providing inexpensive, yet ...

Computationally designed proteins mimic antibody immune evasion in viral evolution.

Recurrent waves of viral infection necessitate vaccines and therapeutics that remain effective again...

Revolution of AAV in Drug Discovery: From Delivery System to Clinical Application.

Adeno-associated virus (AAV) is a non-enveloped DNA virus infecting a wide variety of species, tissu...

Development and Validation of an Explainable Machine Learning Model for Warning of Hepatitis E Virus-Related Acute Liver Failure.

BACKGROUND AND AIMS: Early identification of patients with acute hepatitis E (AHE) who are at high r...

An informed deep learning model of the Omicron wave and the impact of vaccination.

The Omicron (B.1.1.529) variant of SARS-CoV-2 emerged in November 2021 and has since evolved into mu...

STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks.

Spiking neural networks (SNNs) are biologically plausible models known for their computational effic...

Identification of novel therapeutic targets in hepatitis-B virus-associated membranous nephropathy using scRNA-seq and machine learning.

Hepatitis B Virus-associated membranous nephropathy (HBV-MN) significantly impacts renal health, par...

GraftIQ: Hybrid multi-class neural network integrating clinical insight for multi-outcome prediction in liver transplant recipients.

Liver transplant recipients (LTRs) are at risk of graft injury, leading to cirrhosis and reduced sur...

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