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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,225 datasets
A research dataset presents results from a mixed integer linear programming model for pharmaceutical supply chain optimization. The model, developed by Zahra Bahrami, uses a three-objective approach for the green open vehicle routing problem to analyze total costs, greenhouse gas emissions under varying traffic speeds, and patient satisfaction. It was last updated on May 29, 2026, and includes experimental results from real-world applications, showing cost reductions of 14.74% and 13.511% for two proposed delivery scenarios.
A 5.5 KB Excel file contains results from a novel model for pharmaceutical supply chains. The model, authored by Zahra Bahrami, uses a three-objective mixed integer linear programming approach to optimize routing costs, greenhouse gas emissions, and patient satisfaction. It was last updated in May 2026 and is licensed for reuse under CC-BY-4.0.
A 5.5 KB Excel file contains model results for optimizing pharmaceutical supply chains post-pandemic. The research by Zahra Bahrami proposes a mixed integer linear programming model to route vehicles, locate services, and allocate urgent and non-urgent patients. The model minimizes total costs and greenhouse gas emissions while maximizing patient satisfaction, verified through real-world applications.
5.5 KB of model outputs for a pharmaceutical supply chain optimization study. The data likely contains results from a mixed integer linear programming model for a green open vehicle routing problem, solved using an improved non-dominated sorting genetic algorithm-II. Author Zahra Samadi Bahrami published the dataset on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-29.
A 5.5 KB dataset by Zahra Samadi Bahrami, last updated in May 2026, containing results from a mixed integer linear programming model for pharmaceutical logistics. The model optimizes a green open vehicle routing problem with three objectives: total routing costs, greenhouse gas emissions under varying traffic speeds, and patient satisfaction. It is verified through real-world applications and includes analysis of automated medicine locker deployment.
A 5.5 KB Excel dataset by Zahra Samadi Bahrami, last updated in May 2026, details the performance of an improved NSGA-II algorithm applied to a pharmaceutical supply chain model. The model optimizes routing for medicine delivery to patients and automated lockers, balancing costs, greenhouse gas emissions, and patient satisfaction. Experimental results indicate cost reductions of 14.74% and 13.511% across two proposed delivery scenarios.
A novel mixed integer linear programming model enhances pharmaceutical supply chains by routing vehicles to patients and automated medicine lockers. The model, solved using an improved non-dominated sorting genetic algorithm-II, was verified through real-world applications and achieved cost reductions of 14.74% and 13.511% in two scenarios. It was authored by Zahra Samadi Bahrami and last updated on 2026-05-29.
13.5 KB of model results in XLS format, authored by Zahra Bahrami and last updated in May 2026. The dataset contains outputs from a mixed integer linear programming model for pharmaceutical supply chain optimization. It proposes two scenarios for routing medicine deliveries to patients or automated lockers, aiming to minimize costs, greenhouse gas emissions, and maximize patient satisfaction.
A research model for pharmaceutical supply chain optimization in the post-pandemic era. The dataset likely contains results from a mixed integer linear programming model applied to a green open vehicle routing problem, evaluating costs, emissions, and patient satisfaction. The model was developed by Zahra Samadi Bahrami and last updated in May 2026.
5.5 KB Excel file containing performance metrics for a hybrid diabetes management system. The dataset was created by Muhammad Saleem and last updated on May 22, 2026. It validates a BiLSTM model against seven traditional ML and standard DL models using a fused PIMA and Type 2 Diabetes dataset.
Kwadwo Owusu Akuffo's dataset contains extracted data from a systematic review on low vision services in Sub-Saharan Africa. The review synthesized 11 studies from six countries, evaluating service availability, accessibility, utilization, and functional outcomes. The dataset was last updated on June 3, 2026, and is shared under a CC-BY-4.0 license.
Characteristics of 62 participants in a study evaluating home-based blood self-sampling for HIV-1 viral load monitoring. The dataset includes participant demographics and questionnaire results on device usability, collected between September 2024 and March 2025 by Kyra F. Mendes de Leon. It compares self-sampled blood using the TassoPlus device to conventional clinical sampling.
A retrospective cohort of 158 patients with hypertensive heart disease-related heart failure (HHD-HF) from June 2022 to December 2024. The dataset was used to investigate the association between the Systemic Inflammation Response Index (SIRI) and 6-month readmission risk, and to develop a nomogram prediction model. The model, which also incorporates left ventricular mass index and diabetes history, was developed by Suqin Wang.
A systematic review and network meta-analysis of 67 randomized controlled trials involving 6,139 patients, conducted by Xiaoying Guo and published in 2026. The study compares the efficacy and safety of 19 commercial Chinese polyherbal preparations combined with conventional medicine for treating coronary microvascular disease.
A study of 64 patients with disorders of consciousness (DOC) used functional near-infrared spectroscopy (fNIRS) to measure cortical activation in response to auditory stimulation. The research, authored by Jinqin Zhang and published on figshare in June 2026, compares responses to a familiar voice versus an unfamiliar voice calling the subject's own name. It reports statistical analyses of blood oxygen signals and their correlation with Coma Recovery Scale-Revised (CRS-R) scores.
24 patients with tongue squamous cell carcinoma were enrolled in this pilot study. Bacterial exosomes were extracted from saliva, cancer, and para-carcinoma tissue samples, with 16S rRNA sequencing performed to characterize microbial composition. The study identified specific microorganisms like Acinetobacter calcoaceticus and Weissella cibaria that were highly prevalent in cancer patients compared to healthy controls.
Jinqin Zhang's dataset contains functional near-infrared spectroscopy (fNIRS) data from a study of 64 patients with disorders of consciousness. It records cortical activation patterns elicited by auditory stimulation using familiar versus unfamiliar voices calling the subject's own name. The dataset was last updated on June 4, 2026.
200 participants, including 100 Type 2 diabetes patients and 100 matched controls, were analyzed for KCNJ11 rs5215 polymorphism. The dataset includes clinical, anthropometric, and biochemical data collected by AbdelRahhman Ali and last updated in June 2026. Results indicate an association between the TT genotype and T allele and T2DM susceptibility, though modifiable metabolic factors were stronger predictors.
A French public reproductive medicine ward conducted a prospective study between December 2023 and May 2024. The dataset likely contains outcomes from 50 women using a virtual reality hypnosis device during frozen embryo transfer procedures. It includes feasibility, anxiety scores, satisfaction ratings, and pregnancy outcomes compared to a non-exposed cohort.
A French public reproductive medicine ward conducted a prospective study between December 2023 and May 2024. It includes data from 50 women undergoing frozen embryo transfer (FET) who used a virtual reality hypnosis device. The dataset likely contains feasibility, anxiety scores, satisfaction ratings, and pregnancy outcome measurements.