Bioterrorism

Pretreatment Multi-sequence Contrast-Enhanced MRI to Predict Response to Immunotherapy in Unresectable Hepatocellular Carcinoma Using Transformer: A Multicenter Study.

Targeted combined immunotherapy (TCI) has shown certain antitumor effects in patients with unresectable hepatocellular carcinoma(uHCC), but only a subset of patients benefit. This study aims to develop a Transformer-based radiomics model to predict the objective response to combined therapy in patients with uHCC. This multicenter, retrospective study involved 264 HCC patients who underwent contr...

Relationship between spleen volume and diameter for assessment of response to treatment on CT in patients with hematologic malignancies enrolled in clinical trials.

PURPOSE: Investigate spleen diameter (d) and volume (v) relationship in patients with hematologic malignancies (HM) by determining volumetric thresholds that best correlate to established diameter thresholds for assessing response to treatment. Exploratorily, interrogate the impact of volumetric measurements in response categories and as a predictor of response.

Revolutionizing the future: unleashing the potential of generative AI ChatGPT in disaster management.

Incorporating generative artificial intelligence (AI) models, particularly ChatGPT, into resilience marks a big step forward in how communities may ad...

Revolutionizing breast cancer immunotherapy by integrating AI and nanotechnology approaches: review of current applications and future directions.

Breast cancer (BC) is still the most diagnosed cancer for females with an increased focus on immunotherapy as a promising precise treatment. Selecting...

Blockchain based electronic educational document management with role-based access control using machine learning model.

The emergence of digital technology has led to a significant increase in the importance of educational credential storage, exchange, and verification ...

Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy.

: Serum diagnostic tests for alopecia areata may be used to monitor response to treatment, aiding in the objective assessment of disease activity and ...

Empowering Pharmacists in Type 2 Diabetes Care: Opportunities for Prevention, Counseling, and Therapeutic Optimization.

Diabetes is a growing chronic disease with complications that impose a significant burden on healthcare systems worldwide. Pharmacists are readily acc...

Hotspots and Trends in Research on Early Warning of Infectious Diseases: A Bibliometric Analysis Using CiteSpace.

Emerging and re-emerging infectious diseases (EIDs and Re-EIDs) cause significant economic crises and public health problems worldwide. Epidemics app...

Predicting Response to Transarterial Chemoembolization in Hepatocellular Carcinoma Using Machine Learning Models.

BACKGROUND: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths, with transarterial chemoembolization (TACE) being a key treatm...

Machine Learning Analysis of Whole-Blood Transcriptomics Data in Rheumatoid Arthritis Patients Treated with Adalimumab Identifies Predictive Biomarkers of Response.

OBJECTIVES: Tumor necrosis factor inhibitors (TNFi) have significantly improved rheumatoid arthritis (RA) management, yet variability in patient respo...

Burn disasters in North Carolina: An Analysis of Four Major Incidents with a Look to the Future.

This paper examines the medical response to four significant burn disasters in the North Carolina: the Pope Air Force Base disaster, the ConAgra/Garne...

Messenger Ribonucleic Acid (mRNA)-Based Universal Vaccines: Engineering Broad-Spectrum Immunity Against Future Pandemics.

The rapid emergence and evolution of infectious pathogens, including the COVID-19 pandemic and recurring influenza outbreaks, underscore the need for ...

Insights Into the Future: Assessing Medical Students' Artificial Intelligence Readiness - A Cross-Sectional Study at Kerman University of Medical Sciences (2022).

BACKGROUND: Artificial intelligence (AI) has recently advanced in medicine globally, transforming healthcare delivery and medical education. While AI ...

Learning double balancing representation for heterogeneous dose-response curve estimation.

Estimating the individuals' potential response to varying treatment doses is crucial for decision-making in areas such as precision medicine and manag...

Remote sensing-based detection of brown spot needle blight: a comprehensive review, and future directions.

Pine forests are increasingly threatened by needle diseases, including Brown Spot Needle Blight (BSNB), caused by . BSNB leads to needle loss, reduced...

The Desmoid Dilemma: Challenges and Opportunities in Assessing Tumor Burden and Therapeutic Response.

Desmoid tumors are rare, locally invasive soft-tissue tumors with unpredictable clinical behavior. Imaging plays a crucial role in their diagnosis, me...

Nursing Educators' Perspectives on the Integration of Artificial Intelligence Into Academic Settings.

BACKGROUND: The integration of artificial intelligence (AI) into education has the potential to revolutionize teaching and learning practices, especia...

Predicting Immunotherapy Response in Unresectable Hepatocellular Carcinoma: A Comparative Study of Large Language Models and Human Experts.

Hepatocellular carcinoma (HCC) is an aggressive cancer with limited biomarkers for predicting immunotherapy response. Recent advancements in large lan...

Deciphering the Immunomodulatory Function of GSN Inflammatory Cancer-Associated Fibroblasts in Renal Cell Carcinoma Immunotherapy: Insights From Pan-Cancer Single-Cell Landscape and Spatial Transcriptomics Analysis.

The heterogeneity of cancer-associated fibroblasts (CAFs) could affect the response to immune checkpoint inhibitor (ICI) therapy. However, limited stu...

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

The COVID-19 pandemic has prompted an unprecedented global response. In particular, extraordinary efforts have been dedicated toward monitoring and pr...