A systematic review of predictor composition, outcomes, risk of bias, and validation of COVID-19 prognostic scores

KS Appel, R Geisler, D Maier, O Miljukov… - Clinical Infectious …, 2024 - academic.oup.com
Background Numerous prognostic scores have been published to support risk stratification
for patients with coronavirus disease 2019 (COVID-19). Methods We performed a systematic …

The two-stage molecular scenery of SARS-CoV-2 infection with implications to disease severity: An in-silico quest

G Potamias, P Gkoublia, A Kanterakis - Frontiers in Immunology, 2023 - frontiersin.org
Introduction The two-stage molecular profile of the progression of SARS-CoV-2 (SCOV2)
infection is explored in terms of five key biological/clinical questions:(a) does SCOV2 …

[HTML][HTML] Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging

JY Chang, MS Makary - Diagnostics, 2024 - mdpi.com
The advent of artificial intelligence (AI) is revolutionizing medicine, particularly radiology.
With the development of newer models, AI applications are demonstrating improved …

The buzz surrounding precision medicine: the imperative of incorporating it into evidence-based medical practice

G Muharremi, R Meçani, T Muka - Journal of Personalized Medicine, 2023 - mdpi.com
Precision medicine (PM), through the integration of omics and environmental data, aims to
provide a more precise prevention, diagnosis, and treatment of disease. Currently, PM is …

External validation of six COVID-19 prognostic models for predicting mortality risk in older populations in a hospital, primary care, and nursing home setting

A Zahra, M van Smeden, EJ Abbink… - Journal of Clinical …, 2024 - Elsevier
Objectives To systematically evaluate the performance of COVID-19 prognostic models and
scores for mortality risk in older populations across three health-care settings: hospitals …

[HTML][HTML] Croi 2023: acute and post-acute Covid-19

AAR Antar, MJ Peluso - Topics in Antiviral Medicine, 2023 - ncbi.nlm.nih.gov
Studies of acute and post-acute COVID-19 were presented at the 2023 Conference on
Retroviruses and Opportunistic Infections (CROI). Early treatment with ensitrelvir, a novel …

Predicting Deterioration from Wearable Sensor Data in People with Mild COVID-19

JY Kang, YS Bae, EK Chie, SB Lee - Sensors, 2023 - mdpi.com
Coronavirus has caused many casualties and is still spreading. Some people experience
rapid deterioration that is mild at first. The aim of this study is to develop a deterioration …

[HTML][HTML] Predictive Value of Blood Urea Nitrogen/Albumin Ratio in Mortality in Moderate to Severe COVID-19 Patients: A Retrospective Observational Analysis

N Kaeley, S Singh, P Mahala, S Choudhary, UP Singh - Cureus, 2023 - ncbi.nlm.nih.gov
Background: The coronavirus disease of 2019 (COVID-19) pandemic was associated with a
high mortality rate. It posed a formidable challenge to healthcare systems worldwide. In this …

[HTML][HTML] Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm …

S Baek, YJ Jeong, YH Kim, JY Kim, JH Kim… - Journal of medical …, 2024 - jmir.org
Background Robust and accurate prediction of severity for patients with COVID-19 is crucial
for patient triaging decisions. Many proposed models were prone to either high bias risk or …

Enhancing early detection of COVID-19 with machine learning and blood test results

O El Gannour, S Hamida, B Cherradi… - Multimedia Tools and …, 2024 - Springer
The medical community has a significant interest in an accurate, reliable, and effective
Medical Diagnosis Support System for COVID-19. Compared to the RT-PCR test, clinical …