Bioterrorism

Diagnostic Excellence: An Opportunity, and Call to Action, for Radiologists.

In late 2024, the CDC released a statement on diagnostic excellence in healthcare. Diagnostic excell...

The Role of Artificial Intelligence in Drug Discovery and Pharmaceutical Development: A Paradigm Shift in the History of Pharmaceutical Industries.

In today's world, with an increasing patient population, the need for medications is increasing rapi...

Modeling heterogeneity, commitment, and memory of bacterial spore germination.

Spores of bacteria are metabolically dormant, resistant to microbicides, and vectors of food spoilag...

Predicting antiseizure medication response in newly diagnosed epilepsy using quantitative EEG and machine learning.

BACKGROUND: Predicting long-term outcomes in newly diagnosed epilepsy remains limited by reliance on...

Prediction models based on machine learning algorithms for COVID-19 severity risk.

BACKGROUND: The World Health Organization has highlighted the risk of Disease X, urging pandemic pre...

Development of macrophage M2 relate signature for predicting prognosis and immunotherapy response in ovarian cancer.

BACKGROUND: Ovarian cancer ranks as the fifth most common cause of cancer-related deaths in women wo...

Development of a machine learning-based predictive risk model combining fatty acid metabolism and ferroptosis for immunotherapy response and prognosis in prostate cancer.

Prostate cancer (PCa) remains a leading cause of cancer-related mortality, necessitating robust prog...

Rapid Response System Restructure: Focus on Prevention and Early Intervention.

This article describes the staged restructure of the rapid response program into a dedicated 24/7 pr...

Response to: Revisiting the Problem of Optic Nerve Detection in a Retinal Image Using Automated Machine Learning.

Can American Board of Surgery in Training Examinations be passed by Large Language Models? Comparative assessment of Gemini, Copilot, and ChatGPT.

ObjectiveThis study aimed to evaluate the performance of large language models (LLMs) in answering q...

Developing a Machine-Learning Prediction Model for Infliximab Response in Crohn's Disease: Integrating Clinical Characteristics and Longitudinal Laboratory Trends.

BACKGROUND: Achieving long-term clinical remission in Crohn's disease (CD) with antitumor necrosis f...

Estimation method of dynamic range parameters for cochlear implants based on neural response telemetry threshold.

BACKGROUND: There is a lack of correlation studies between subjective behavioral test threshold and ...

NetLnc: A Network-Based Computational Framework to Identify Immune Checkpoint-Related lncRNAs for Immunotherapy Response in Melanoma.

Long non-coding RNAs (lncRNAs) could alter the tumor immune microenvironment and regulate the expres...

Identify Modules Associated with Immunotherapy Response from Mouse Tumor Profiles for Stratifying Cancer Patients.

Immune checkpoint inhibitors (ICIs) have demonstrated significant clinical benefits in cancer treatm...

Predicting treatment response to systemic therapy in advanced gallbladder cancer using multiphase enhanced CT images.

BACKGROUND: Accurate estimation of treatment response can help clinicians identify patients who woul...

A quantitative characterization of the heterogeneous response of glioblastoma U-87 MG cell line to temozolomide.

Most cancers are genetically and phenotypically heterogeneous. This includes subpopulations of cells...

Machine learning algorithms integrating positron emission tomography/computed tomography features to predict pathological complete response after neoadjuvant chemoimmunotherapy in lung cancer.

OBJECTIVES: Reliable methods for predicting pathological complete response (pCR) in non-small cell l...

Short-Dipole Sensor Response Linearization Through Physics-Informed Neural Networks.

Short-dipole diode sensors loaded with highly resistive lines are commonly used to measure the time-...

Assessing the impact of the TB response in Taiwan - the journey towards ending TB.

The incidence of TB in Taiwan declined by 62% from 2005 to 2023 (i.e., from 73/100,000 to 28/100,000...

Exploring community knowledge, perceptions, and the impacts of anthrax among farming communities living in game management areas in Zambia: A qualitative study using a hybrid approach.

Anthrax remains a neglected zoonotic disease of critical public and animal health significance in Za...

Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli.

Neural network complexity allows for diverse neuronal population dynamics and realizes higherorder b...