Instruct: Identify the main category of Medrxiv papers based on the titles.
Query: Assessing genetic overlap and causality between blood plasma proteins and Alzheimer's Disease
Polygenic scores in disease prediction: evaluation using the relevant performance metrics
Salivary proteome of aphthous stomatitis reveals the participation of vitamin metabolism, nutrients, and bacteria
Occupational risk of COVID-19 in the 1st vs 2nd wave of infection
Hospitalization of mild cases of community-acquired pneumonia decreased more than severe ones during the COVID-19 epidemic
Mutational signatures in esophageal squamous cell carcinoma from eight countries of varying incidence
Long term antibody response to SARS-CoV-2 in children
Deep learning-based detection of COVID-19 using wearables data
The rapid reemergence of seasonal respiratory viruses in Houston, Texas, after relaxing COVID-19 restrictions
Prenatal vitamin intake in first month of pregnancy and DNA methylation in cord blood and placenta in two prospective cohorts
MALDI-TOF mass spectrometry of saliva samples as a prognostic tool for COVID-19
SARS-CoV-2 viral dynamics in acute infections
Nature and Trends of Pharmaceutical Payments to Board Certificated Respiratory Specialists in Japan between 2016 and 2019
SGLT2-Inhibition reverts urinary peptide changes associated with severe COVID-19: an in-silico proof-of-principle of proteomics-based drug repurposing
The premature mortality to incidence ratio (PREMIER): a person-centred measure of cancer burden
Zero-COVID Policies: Melbourne's 112-Day Hard Lockdown Experiment Harmed Mostly Mothers
Physician-confirmed and administrative definitions of stroke in UK Biobank reflect the same underlying genetic trait.
A proteomics workflow reveals predictive autoantigens in idiopathic pulmonary fibrosis
A classification model to predict specialty drug use
Altered Cortical Thickness Development in 22q11.2 Deletion Syndrome and Association with Psychotic Symptoms
Outpatient therapies for COVID-19: How do we choose?
Mapping the antigenic diversification of SARS-CoV-2
Deep neural networks allow expert-level brain meningioma detection, segmentation and improvement of current clinical practice
NeuroXNet: Creating A Novel Deep Learning Architecture that Diagnoses Neurological Disorders, Finds New Blood Biomarkers, and Assesses Surgical, Drugs, and Radiation Treatment Plans Using Medical Imaging and Genomic Data
Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing data
Low risk of SARS-CoV-2 transmission via fomite, even in cold-chain