- Data Visualization and Analytics
- Cardiac Imaging and Diagnostics
- Sepsis Diagnosis and Treatment
- Hepatitis C virus research
- Hepatitis B Virus Studies
- Ultrasound and Hyperthermia Applications
- Liver Disease Diagnosis and Treatment
- Human Mobility and Location-Based Analysis
- Machine Learning in Healthcare
- Evacuation and Crowd Dynamics
- Liver Disease and Transplantation
- Digital Media and Visual Art
- Sports Analytics and Performance
- Pain Management and Treatment
- Biomedical Text Mining and Ontologies
- Business Process Modeling and Analysis
- Coronary Artery Anomalies
- Big Data and Business Intelligence
- Human-Automation Interaction and Safety
- Gambling Behavior and Treatments
- Digital Imaging for Blood Diseases
- Artificial Intelligence in Games
- Clusterin in disease pathology
- Artificial Intelligence in Law
- Drug Transport and Resistance Mechanisms
ShanghaiTech University
2022-2025
Ministry of Education of the People's Republic of China
2024
Beijing Tsinghua Chang Gung Hospital
2024
Wenzhou Medical University
2024
Tsinghua University
2024
Peking University First Hospital
2023
Peking University
2023
Tianjin University
2011-2021
Qilu Hospital of Shandong University
2019
Northwest A&F University
2018
Synthetic lethality (SL) is a gold mine of anticancer drug targets, exposing cancer-specific dependencies cellular survival. To complement resource-intensive experimental screening, many machine learning methods for SL prediction have emerged recently. However, comprehensive benchmarking lacking. This study systematically benchmarks 12 recent prediction, assessing their performance across diverse data splitting scenarios, negative sample ratios, and sampling techniques, on both...
Simulation-based Medical Education (SBME) has been developed as a cost-effective means of enhancing the diagnostic skills novice physicians and interns, thereby mitigating need for resource-intensive mentor-apprentice training. However, feedback provided in most SBME is often directed towards improving operational proficiency learners, rather than providing summative medical diagnoses that result from experience time. Additionally, multimodal nature data during diagnosis poses significant...
With the development of sensing and communication technologies in networked cyber-physical systems (CPSs), multi-agent reinforcement learning (MARL)-based methodologies are integrated into control process physical demonstrate prominent performance a wide array CPS domains, such as connected autonomous vehicles (CAVs). However, it remains challenging to mathematically characterize improvement CAVs with cooperation capability. When each individual vehicle is originally self-interest, we can...
Background The aim of this study was mainly to investigate the association between Serum uric acid (SUA) high-density lipoprotein cholesterol (HDL-C) ratio (UHR) and all-cause mortality in hypertensive patients,and further mediating role neutrophils. Methods Our cohort included 4533 patients drawn from 2005–2018 National Health Nutrition Examination Survey (NHANES) database combined with Death Index (NDI) obtain data for subjects. Kaplan-Meier survival curves, multifactorial Cox...
Globally the cardiovascular disease (CVDs) and coronary heart (CHD) are main cause of death.Ginkgo biloba is one oldest plants in world, originating China, science known as "living fossil".Ginkgo leaves extract (GBLE) a bioactive substance extracted from Ginkgo biloba, active ingredients flavonoids ginkgolide compound, three or four, most important widely used drug food additive more than 130 countries.Thousands years ago Asian other region was use traditional Chinese medicine (TCM), they...
Serum lactate has been used as a prognostic indicator in intensive care unit patients, and however, the single value may not be enough to reflect changes during illness conditions. Herein, this study aims explore association between serum clearance rate 30-day mortality patients undergoing mechanical ventilation (MV). Demographic clinical data of 2628 adults were extracted from medical information mart for care-III database retrospective cohort study. The was calculated using at beginning MV...
There is no study verifying the predictive value of model for end-stage liver disease and sodium (MELD-Na) rebleeding its associated mortality in cirrhotic patients after cessation acute esophageal variceal hemorrhage (AVH) by endoscopic therapy. This aimed to determine MELD-Na comparing with MELD or Child-Turcotte-Pugh (CTP) scores.Consecutive adult AVH therapy (endoscopic ligation sclerotherapy injections) within 48 hours admission admitted from 2003 2012 were analyzed. The clinical...
Background: Mycoplasma pneumoniae is an important infectious pathogen of lower respiratory tract infection in children and adolescents. Macrolide resistant M. (MRMP) has become increasingly prevalent, identifying resistance genes crucial for treatment. Case Presentation: We report a patient with severe refractory pneumonia (MPP). The failure initial clinical treatment prompted the re-analysis metagenomic next-generation sequencing (mNGS) data macrolide-resistant gene. Macrolide-resistance...
The provision of fire services plays a vital role in ensuring the safety residents' lives and property. spatial layout stations is closely linked to efficiency rescue operations. Traditional approaches have primarily relied on mathematical planning models generate appropriate layouts by summarizing relevant evaluation criteria. However, this optimization process presents significant challenges due extensive decision space, inherent conflicts among criteria, decision-makers' preferences. To...
Steroid refractory acute rejection (SRAR) is a major vital factor in renal transplantation recipients. The pathogenesis of SRAR may involve both immune and non-immune mechanisms. A decreased allograft function has also been associated with increased activity renin-angiotensin-aldosterone system (RAS), which be genetically determined. total 206 transplant recipients, 116 males 90 females, were included. effects gene polymorphisms the four components RAS including angiotensinogen (AGT),...
In the burgeoning field of Large Language Models (LLMs) like ChatGPT and LLaMA, Prompt Engineering (PE) is renowned for boosting zero-shot or in-context learning (ICL) through prompt modifications. Yet, realm sample design downstream fine-tuning, crucial task-specific LLM adaptation, largely unexplored. This paper introduces Sample Design (SDE), a methodical approach to enhancing LLMs' post-tuning performance by refining input, output, reasoning designs. We conduct series in-domain (ID)...
The process of labeling medical text plays a crucial role in research. Nonetheless, creating accurately labeled texts high quality is often time-consuming task that requires specialized domain knowledge. Traditional methods for generating data typically rely on rigid rule-based approaches, which may not adapt well to new tasks. While recent machine learning (ML) methodologies have mitigated the manual efforts, configuring models align with specific research requirements can be challenging...
Acute-on-chronic hepatitis B liver failure (ACHBLF) refers to the acute deterioration of function during chronic virus infection, and is associated with high mortality, rapid progression death. Nucleotide-binding oligomerisation domain-like receptors (NLRs) Family Pyrin Domain Containing 3(NLRP3) inflammasome contributed pathogenesis D-galactosamine lipopolysaccharide-induced failure. However, profile NLRP3 in patients ACHBLF has not been demonstrated. This study was therefore conducted...
Introduction Digital medication health service (DMHS) platforms are increasingly used by pharmaceutical companies to provide direct services through digital methods like apps, hotlines, and web services, etcetera. However, the implications of such in supporting technology assessment (HTA) rarely discussed literature. This presentation sets out opportunities for using DMHS as real-world data sources HTA. Methods A mixed-method qualitative study combining literature review case was conducted....
The objective of this study was to compare the number rolling and adhered leukocytes in patients with severe sepsis/septic shock non-infected controls. Microcirculatory flow alterations endothelial cell dysfunction are elements sepsis pathophysiology. Traditionally, microcirculatory emphasis has been on red blood vessel perfusion. However, assessment interactions between white cells may be another early diagnostic modality.
Electronic health records (EHRs), serving as patient-centered repositories for medical data, offer the opportunity researchers to uncover concealed patterns using machine learning (ML). However, in real-world settings, clinicians often face task of selecting pertinent feature dimensions from a range potential metrics and then deducing labels vague diagnostic descriptions, prior modeling phase. This complexity presents challenges obtaining reliable training/testing data conducting thorough...
Abstract Background Remimazolam is a novel benzodiazepine sedative drug. Studies have confirmed its rapid onset of action, ultra-short duration, and fast recovery time without significant drug-related side effects. However, there lack research on safety efficacy anesthesia induction maintenance in elderly patients. Therefore, randomized controlled single-blind study was conducted to investigate applicaiton general for Methods 52 patients aged 65 years or older who underwent ureteroscopic...
The fund investment industry heavily relies on the expertise of managers, who bear responsibility managing portfolios behalf clients. With their knowledge and professional skills, managers gain a competitive advantage over average investor in market. Consequently, investors prefer entrusting investments to rather than directly investing funds. For these investors, primary concern is selecting suitable manager. While previous studies have employed quantitative or qualitative methods analyze...
The burgeoning online video game industry has sparked intense competition among providers to both expand their user base and retain existing players, particularly within social interaction genres. To anticipate player churn, there is an increasing reliance on machine learning (ML) models that focus dynamics. However, the prevalent opacity of most ML algorithms poses a significant hurdle acceptance domain experts, who often view them as "black boxes". Despite availability eXplainable...
Motivation: The conventional velocity-selective ASL-based (VSASL) MRA couldn’t separate arteries and veins unless additional module is used, which would cause long scan time. In addition, its acquisition efficiency low since a waiting time for blood refreshing. Goal(s): To proposed VSASL-based sequence Simultaneous imaging of cerebral Arteries VEins (SAVE). Approach: SAVE uses the period between consecutive shots VSASL to acquire SWI data. MRA/MRV were obtained by subtracting...