Infectious Disease

Fungal Infection

Latest AI and machine learning research in fungal infection for healthcare professionals.

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RABiTPy: an open-source Python software for rapid, AI-powered bacterial tracking and analysis.

Bacterial tracking is crucial for understanding the mechanisms governing motility, chemotaxis, cell ...

May 2025 40383775
An integrated bioinformatics and machine learning-based approach to depict key immunological players associated with candidemia during immunodeficiency.

It is evident that a robust immune system keeps Candida albicans infection in check, but weakened im...

May 2025 40403354
Yeast Knowledge Graphs Database for Exploring Saccharomyces Cerevisiae and Schizosaccharomyces Pombe.

Biomedical literature contains an extensive wealth of information on gene and protein function acros...

May 2025 40057225
Optimization process of coffee pulp wines combined with the artificial neural network and response surface methodology.

Coffee pulp wine was made from coffee pulp. The level range of fermentation factors was determined b...

May 2025 40368967
SEMTWIST Quantification of Biofilm Infection in Human Chronic Wound Using Scanning Electron Microscopy and Machine Learning.

To develop scanning electron microscopy-based Trainable Weka (Waikato Environment for Knowledge Ana...

May 2025 40358506
Analysis of biofilm assembly by large area automated AFM.

Biofilms are complex microbial communities critical in medical, industrial, and environmental contex...

May 2025 40341406
New Strategies and Artificial Intelligence Methods for the Mitigation of Toxigenic Fungi and Mycotoxins in Foods.

The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute ...

May 2025 40423314
Deep Learning Model for Diagnosing and Classifying Subtypes of Chronic Pulmonary Aspergillosis in Chest CT.

BACKGROUND: Diagnosing chronic pulmonary aspergillosis (CPA) and its subtypes is essential for treat...

Apr 2025 40277031
ReverBERT: A State Space Model for Efficient Text-Driven Speech Style Transfer

Text-driven speech style transfer aims to mold the intonation, pace, and timbre of a spoken uttera...

AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients

Sepsis is a life-threatening condition which requires rapid diagnosis and treatment. Traditional m...

A Bi-channel Aided Stitching of Atomic Force Microscopy Images

Microscopy is an essential tool in scientific research, enabling the visualization of structures a...

Learn from artificial intelligence: the pursuit of objectivity.

Humans continuously face threats from emerging novel pathogens and antimicrobial resistant bacteria ...

Mar 2025 39933596
FungalZSL: Zero-Shot Fungal Classification with Image Captioning Using a Synthetic Data Approach

The effectiveness of zero-shot classification in large vision-language models (VLMs), such as Cont...

DCENWCNet: A Deep CNN Ensemble Network for White Blood Cell Classification with LIME-Based Explainability

White blood cells (WBC) are important parts of our immune system, and they protect our body agains...

AI-Driven Solutions for Falcon Disease Classification: Concatenated ConvNeXt cum EfficientNet AI Model Approach

Falconry, an ancient practice of training and hunting with falcons, emphasizes the need for vigila...

DepoRanker: A Web Tool to predict Klebsiella Depolymerases using Machine Learning

Background: Phage therapy shows promise for treating antibiotic-resistant Klebsiella infections. I...

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis

We present a simple approach to make pre-trained Vision Transformers (ViTs) interpretable for fine...

Synthetic Fungi Datasets: A Time-Aligned Approach

Fungi undergo dynamic morphological transformations throughout their lifecycle, forming intricate ...

f-BGM enables fungi-specific genome mining in high accuracy and interpretability

Emerging artificial intelligence (AI)-based genome mining methods have revolutionized the paradigm o...

GLM-Prior: a nucleotide transformer model reveals prior knowledge as the driver of GRN inference performance

Gene regulatory network inference depends on high-quality prior-knowledge, yet curated priors are of...

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