Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,224 datasets
From Q1 2004 to Q2 2025, this dataset contains 3,631 reports of cutaneous adverse events linked to antibody-drug conjugates, extracted from the FDA Adverse Event Reporting System (FAERS). It was created by Huiwen Sun and includes disproportionality analysis results for 31 positive safety signals. The dataset was last updated on May 25, 2026.
A pharmacovigilance study analyzing 3,631 cutaneous adverse event reports linked to antibody-drug conjugates (ADCs) from the FDA Adverse Event Reporting System (FAERS). The data spans from Q1 2004 to Q2 2025 and was analyzed by Huiwen Sun using disproportionality methods. It identifies 31 positive safety signals, reports a median time-to-onset of 15 days, and details clinical outcomes including hospitalization and death rates.
A pharmacovigilance dataset of 3,631 cutaneous adverse event reports linked to antibody-drug conjugates (ADCs). The data was extracted from the FDA Adverse Event Reporting System (FAERS) from Q1 2004 to Q2 2025 by author Huiwen Sun and includes patient baseline characteristics, disproportionality analysis signals, time-to-onset, and clinical outcomes. The study identifies 31 positive safety signals at the preferred term level, highlighting events like rash, alopecia, and severe conditions such as Stevens-Johnson syndrome.
A pharmacovigilance study analyzing 3,631 reports of cutaneous adverse events (CAEs) linked to antibody-drug conjugates (ADCs). The dataset, created by Huiwen Sun and last updated in May 2026, uses FDA Adverse Event Reporting System (FAERS) data from Q1 2004 to Q2 2025 to identify safety signals, time-to-onset, and clinical outcomes.
A case series document describes the use of whole exome sequencing to identify pathogenic variants in six Vietnamese patients with inborn errors of immunity. The study identified six causative variants, including one novel variant in the STAT3 gene. The document was authored by Nguyen Thi Kim Lien and uploaded to figshare in May 2026.
51.8 KB of data compares daily pollen concentrations from an automated Swisens Poleno Jupiter sampler and a traditional Hirst-type trap with technician counting over a single monitoring season in England. The dataset, authored by Leah Cuthbertson and shared under a CC-BY-4.0 license, includes regression models assessing the impact of weather covariates on differences between the two methods. Agreement was measured for total pollen and individual taxa like Pinus, Alnus, Fraxinus, Poaceae (grass), Betula, Quercus, and Taxus/Cupressus.
A longitudinal dataset covering pre-training, post-training, and follow-up periods for 24 stroke patients performing motor imagery tasks. It includes raw EEG data, preprocessed data, and patient clinical information, collected by Zhuang Wang and last updated in May 2026. Preliminary analysis using CSP+SVM and CSP+LDA algorithms reported an average classification accuracy of approximately 85-86% between the two motor imagery paradigms.
A single-centre pilot study of 71 post-kidney transplant patients comparing volume assessment methods. The data includes a prospective cohort of 31 patients assessed with VExUS, lung ultrasound, physical exam, and bioimpedance on days +1 and +7 post-transplant, compared to a historical cohort of 40 patients. The supplementary material, made available under CC-BY-4.0, contains findings from this exploratory study.
figshare admin karger provides supplementary material for a retrospective study of 107 systemic therapy–naïve patients with unresectable hepatocellular carcinoma. The dataset likely contains patient characteristics, diagnostic pathways, and treatment outcomes for first-line atezolizumab plus bevacizumab therapy. The material was last updated on June 1, 2026.
A systematic review and meta-analysis of 22 randomized controlled trials assessing the efficacy and safety of perioperative esketamine for preventing postoperative sleep disturbance in adults. The document, authored by Jinfang Zeng and last updated in June 2026, pools risk ratios for sleep disturbance incidence across postoperative days 1-7 and analyzes adverse events. The certainty of evidence for early outcomes is rated as moderate.
A systematic review and meta-analysis of 22 randomized controlled trials published up to March 10, 2026, assessing the efficacy and safety of perioperative esketamine for preventing postoperative sleep disturbance in adults. The analysis was conducted by Jinfang Zeng and includes pooled risk ratios for sleep outcomes on postoperative days 1-7. The dataset is a 12.0 KB document summarizing the review's methods, results, and conclusions.
Julia Chan authored a systematic review and meta-analysis of 42 randomized controlled trials involving 3,844 participants, published on figshare in June 2026. The document analyzes the effectiveness of interventions like Cognitive Behavioral Therapy for Insomnia (CBT-I) on clinically relevant sleep disturbances in cancer patients and survivors. The analysis covers studies published from January 2012 to June 2025.
Three core methylation biomarkers (BAHCC1-8721-2-1, SHANK3-16286-1-5, FHL1-26624-1-3) were identified from cervical scrapings and ultrasound imaging of 40 patients. The dataset, a 51.9 KB DOCX file, contains results from a study by Dongmei Liu, last updated in June 2026. It compares four diagnostic strategies, with a sequential TVUS and methylation approach achieving an AUC of 0.950.
A review document discusses ultra-widefield color fundus photography (UWF-CFP) for diabetic retinopathy assessment. The document, authored by Ruolin Fang and licensed under CC-BY-4.0, was last updated on June 3, 2026. It covers the shift from traditional 7-field imaging to full retinal assessment and integration with AI and multimodal data.
12 non-hospitalized healthcare workers with long COVID and 35 matched controls provide longitudinal multi-omics data. The dataset includes whole-blood transcriptomic profiling via the NanoString nCounter PanCancer Immune Panel and serum metabolomic analysis using untargeted mass spectrometry. Author Estefanía Espín published this research on figshare in June 2026 under a CC-BY-4.0 license.
Integrated transcriptomic and metabolomic data from a longitudinal cohort study of 12 non-hospitalized healthcare workers with long COVID and 35 matched controls. The dataset includes whole-blood RNA sequencing results from the NanoString nCounter PanCancer Immune Panel and serum metabolite profiles from untargeted mass spectrometry. It was authored by Estefanía Espín and last updated on June 4, 2026.
Integrated transcriptomic and metabolomic profiles from a longitudinal cohort of 12 non-hospitalized healthcare workers with long COVID and 35 matched controls. The dataset includes whole-blood RNA sequencing data from the NanoString nCounter PanCancer Immune Panel and serum metabolite analysis via untargeted UHPLC-MS. It was authored by Estefanía Espín and last updated on June 4, 2026.
A longitudinal cohort of 12 non-hospitalized healthcare workers with long COVID and 35 matched controls, profiled post-SARS-CoV-2 infection. The dataset contains integrated transcriptomic and metabolomic data, identifying 63 differentially expressed genes and 24 annotated metabolites. It was authored by Estefanía Espín and last updated on 2026-06-04.
Integrated transcriptomic and metabolomic profiling from a longitudinal cohort of 12 non-hospitalized healthcare workers with long COVID and 35 matched controls reveals 63 differentially expressed genes and 24 annotated metabolites. The study focuses on a high-risk, understudied outpatient population primarily presenting with fatigue and brain fog. Network analysis identified coordinated immune-metabolic alterations, highlighting pathways like necroptosis and serotonergic signaling.
Estefanía Espín's dataset contains integrated transcriptomic and metabolomic profiles from a longitudinal cohort of non-hospitalized healthcare workers with long COVID (N=12) and matched controls (N=35). It includes 63 differentially expressed genes and 24 annotated metabolites identified via whole-blood RNA profiling and serum metabolomics. The data was last updated on June 4, 2026, and is shared under a CC-BY-4.0 license.