Clinical trials

To evaluate the efficacy and safety of Becotatug Vedotin (EGFR-targeted ADC, MRG003) plus Pucotenlimab (PD-1 inhibitor), compared with platinum-based chemotherapy/chemoradiotherapy, as an induction conversion regimen for downstaging primary stage IVB oral squamous cell carcinoma or HPV16-negative oropharyngeal squamous cell carcinoma.

In this observational study, the investigators evaluate the influencing factors of cerebrovascular disease and cognition in hemodialysis patients.

The goal of this clinical trial is to learn whether cyclophosphamide (CTX) combined with standard treatment can slow disease progression in adults with amyotrophic lateral sclerosis (ALS). It will also evaluate the safety and tolerability of CTX. The main questions it aims to answer are: 1. Does CTX combined with standard treatment reduce the decline in ALS Functional Rating Scale-Revised (ALSFRS-R) scores over 48 weeks compared with standard treatment alone? 2. What medical problems and side effects do participants have while receiving CTX? 3. Are markers of neuroinflammation and immune activity, including TSPO-PET, neurofilament light chain (NfL), upper motor neuron burden, electrophysiological measures, immune cell profiles, and autoantibodies, associated with treatment response? Researchers will compare CTX combined with standard treatment with standard treatment alone to see whether CTX can slow the progression of ALS. Participants will: 1. Be randomly assigned to receive CTX plus standard treatment or standard treatment alone 2. Receive CTX treatment for up to 36 weeks if assigned to the CTX group 3. Visit the study center regularly for clinical assessments, blood tests, lung function tests, electrophysiological tests, and other safety evaluations 4. Complete assessments of physical function, muscle strength, respiratory function, and quality of life 5. Undergo biomarker assessments, including TSPO-PET imaging and NfL testing 6. Be followed for 48 weeks during the main study period and for up to 96 weeks for long-term outcomes and safety

To evaluate the clinical outcomes of 2-year lymph node metastasis rate, disease-free survival, overall survival, and health-related quality of life in the patients with cT1N0M0 oral squamous cell carcinoma, who receive primary lesion resection combined with elective neck dissection or primary lesion resection only.

This study is a single-center, retrospective-prospective, non-interventional cohort study to assess the clinical outcomes of Chinese NMOSD patients treated with satralizumab in a real-world patient management model by collecting follow-up data in clinical practice.

Anti-myelin oligodendrocyte glycoprotein-IgG-associated disorders (MOGAD) is a rare inflammatory autoimmune disease. In addition, since the international MOGAD group proposed live-cell based assays for MOGAD diagnosis in 2023, there are still no real-world cohort validation studies on this methodology. This study intends to establish a large sample cohort with multi-center and paired design. MOG-IgG detection based on live cells and fixed cells was performed on the study participants with high suspicion of MOGAD and the negative control population, to obtain the diagnostic performance parameters and consistency evaluation of the two methodologies, evaluate their clinical diagnostic value, and explore the best individual assay cutoffs for MOG-IgG detection suitable for the diagnosis of MOGAD in China.

This is a three-arm, multicenter, randomized controlled trial. Eligible participants will be randomized to one of three induction regimens via stratified block randomization at a 2:2:1 ratio. Induction regimens: Arm A: Teniposide + orelabrutinib + rituximab + methotrexate (MTX) + dexamethasone, administered in 21-day cycles. Arm B: Orelabrutinib + rituximab + MTX + dexamethasone, administered in 21-day cycles. Arm C: Rituximab + MTX + dexamethasone, administered in 21-day cycles. Participants achieving complete response (CR) or unconfirmed complete response (CRu) post-induction will proceed to consolidation therapy, with options including: MTX + rituximab (once every 3 months for 1 year); high-dose chemotherapy followed by autologous stem cell transplantation (ASCT); dose-reduced whole brain radiotherapy; or other modalities (as determined by the investigator).

This prospective observational cohort study aims to investigate the relationship between immunosenescence and infectious diseases in older adults. Individuals aged 60 years and older, including elderly patients with infections and healthy controls, will be enrolled and followed longitudinally. Clinical information, laboratory test results, and health assessment data will be collected. Biological specimens, including peripheral blood, urine, stool, sputum, and nasopharyngeal swabs, will be obtained during enrollment and follow-up. Participants will undergo regular assessments of health status, infection events, and aging-related clinical characteristics. The study will evaluate age-related changes in immune function, immune cell composition, immune receptor repertoires, epigenetic characteristics, metabolic profiles, and respiratory and gut microbiota. By integrating clinical and multi-omics data, the study aims to identify biomarkers associated with immunosenescence, susceptibility to infection, disease severity, and clinical outcomes in older adults. The results are expected to improve understanding of the mechanisms linking aging, immune dysfunction, and infectious diseases, and to support the development of predictive models and preventive strategies for infection management and healthy aging in elderly populations.

This prospective real-world study will evaluate the clinical benefits of Niaoduqing Granules in older adults with impaired kidney function. Approximately 300 participants aged over 60 years with stage 3 to 5 chronic kidney disease who are not receiving dialysis will be enrolled at Huashan Hospital, Fudan University. The study will examine whether treatment with Niaoduqing Granules is associated with slower kidney function decline and improvements in nutrition, frailty, and other health outcomes. Participants will receive 5 g of Niaoduqing Granules three times daily after meals for 12 months, while continuing their usual treatment for chronic diseases as directed by their physicians. Kidney function, laboratory results, nutritional status, frailty, cardiovascular and cerebrovascular events, and survival will be assessed during follow-up. Blood, urine, and stool samples will also be collected to study changes in gut microorganisms and blood metabolites that may help explain how Niaoduqing Granules affect health. Participants will be followed for up to 60 months.

This is a single-center, prospective real-world observational study aiming to evaluate the efficacy and safety of oral enarodustat in adult non-dialysis chronic kidney disease (ND-CKD) patients with renal anemia. A total of 90 eligible participants will be enrolled and stratified into three groups according to baseline C-reactive protein (CRP) levels: CRP ≤3 mg/L, 3\<CRP ≤10 mg/L, and CRP\>10 mg/L. All subjects receive routine oral enarodustat treatment with individualized dose titration, together with standard supportive care for CKD. Each participant will be followed up every 4 weeks for a total of 24 weeks. The primary objective is to compare the change in hemoglobin from baseline to week 24 across different inflammation subgroups. Secondary objectives include analyzing dynamic changes of iron metabolism indicators and documenting all adverse events during treatment. This study will explore the optimal individualized dosing strategy of enarodustat under different inflammatory and iron status.

The goal of this clinical trial is to compare sequential PEG-IFNα therapy strategies in chronic hepatitis B (CHB) patients previously treated with ASO/siRNA. The main questions it aims to answer are: 1. Does sequential PEG-IFNα therapy (vs. deferred/no treatment) improve HBsAg clearance rates? 2. What are the HBsAg clearance and relapse rates after 24 weeks of PEG-IFNα therapy? 3. Is intermittent PEG-IFNα therapy as effective and safe as continuous therapy? Researchers will compare: • Group A (immediate 24-week PEG-IFNα + 24-week follow-up) vs. Group B (24-week observation + 24-week PEG-IFNα) in Phase 1 to see if sequential PEG-IFNα therapy will improve HBsAg loss rate . Researchers will describe: * The response rate of IFN treatment in non-responders (HBsAg-positive) in Phase 2. * The relaspe rate of responders (HBsAg-negative). Participants will: Phase 1 (0-48 weeks): * Group A: Receive PEG-IFNα for 24 weeks, followed by 24-week treatment-free follow-up. * Group B: Undergo 24-week observation, then receive PEG-IFNα for 24 weeks. Phase 2 (48-96 weeks): * HBsAg-positive at week 48 patients either from group A or group B : Receive 24-week PEG-IFNα therapy, followed by 24-week follow-up. * HBsAg-negative at week 48 patients either from group A or group B: Enter 24-week follow-up without treatment. All participants will undergo: • HBsAg quantification, HBV DNA, liver function, and safety monitoring (every 12 weeks).

The investigators hypothesize that Ketosteril can improve sarcopenia in patients with renal disease without increasing the burden on the kidneys and causing deterioration of renal function. Therefore, this study intends to take patients with CKD stage 3-4 and sarcopenia as the research object, give Ketosteril intervention or not to patients on the base of low-protein diet, and clarify the clinical benefits of Ketosteril prescription for improving sarcopenia in patients with CKD.

This multicenter observational cohort study aims to develop and validate an artificial intelligence (AI)-assisted diagnostic system for preoperative molecular subtyping of pediatric brain tumors using routine magnetic resonance imaging (MRI). The study will include seven major pediatric brain tumor categories: glioma, medulloblastoma, ependymoma, atypical teratoid/rhabdoid tumor (AT/RT), intracranial germ cell tumors, craniopharyngioma, and choroid plexus tumors. The study includes a retrospective cohort for model development and internal/external validation, and a prospective cohort for further validation. Retrospective data will be collected from pediatric patients who underwent first surgical treatment between January 1, 2020 and December 31, 2025. Prospective enrollment will begin on July 15, 2026, with an anticipated sample size of 150 participants. The AI system will analyze preoperative MRI sequences, including T1-weighted, contrast-enhanced T1-weighted, T2-weighted, and FLAIR images, to predict key molecular markers and integrated diagnostic categories. The primary objective is to evaluate the diagnostic performance of the AI system for prespecified molecular prediction tasks using postoperative histopathology and molecular testing as the reference standard. Secondary objectives include assessing agreement with integrated diagnosis, comparing performance against blinded radiologists, and exploring prognostic associations of AI-predicted subgroups.

The study will leverage the established multi-stage cohort resources at Huashan Hospital, covering the entire spectrum from early-stage CKD to dialysis, including a comorbidity real-world database, a prospective CKD patient cohort, and a maintenance hemodialysis patient real-world cohort. It will also collaborate with the Shanghai Fifth People's Hospital (community-based CKD cohort, n\>2,000) and the Jing'an District Central Hospital (end-stage renal disease cohort, n\>400) as external validation platforms. Using epidemiological and big data-driven approaches, the study aims to elucidate the mechanisms underlying disease progression and complications, construct intelligent intervention models, and validate their performance in the external cohorts, ultimately facilitating the optimization and broader application of comprehensive CKD management strategies.

This is a prospective, multi-center, open-label, cluster randomized controlled clinical trial conducted in school settings to estimate the non-inferiority effect of 1H3P3 compared with 3HR.

This study is to evaluate the safety, biodistribution, radiation dosimetry and tumor uptake of the \[68Ga\]/ \[131I\]-IR199 in patients with Claudin 18.2 positive gastric cancer and pancreatic cancer.

This study is a single-center, prospective, single-arm, self-controlled clinical trial designed to assess the safety and efficacy of edaravone dexborneol sublingual tablets for blood-brain barrier (BBB) dysfunction in patients with CADASIL. The study will enroll approximately 60 participants aged 18 to 80 years with genetically confirmed CADASIL. Participants will be followed for a total duration of 12 months, including two consecutive phases. * Phase 1 is a 6-month natural history observation period, during which participants do not receive the study drug and continue their routine standard care for CADASIL. * Phase 2 is a 6-month drug intervention period, in which participants will receive edaravone dexborneol sublingual tablets to investigate the effect on the BBB water exchange rate (kw), measured by diffusion-prepared pseudo-continuous arterial spin labeling (DP-pCASL) MRI, and to assess potential benefits on stroke risk reduction, cognitive function, and gait performance. The primary endpoint is the change in kw measured by DP-pCASL. Secondary endpoints include the incidence of clinical stroke events; changes in neuropsychological performance, MRI-based CSVD biomarkers, gait and motor assessments, functional disability and activities-of-daily-living scales, and peripheral blood biomarkers. Safety assessments will include adverse events (AEs) and serious adverse events (SAEs).

This nationwide, multicenter observational study will establish and improve a hospital-based clinical surveillance and early warning system for respiratory syndrome pathogens. Clinical data and biospecimens generated during routine care will be collected from participating medical institutions every two weeks to monitor pathogen trends, support risk assessment, and provide evidence for prevention and control measures.

This is a multi-center, retrospective, observational study to develop and internally validate an artificial intelligence (AI) foundation model for hierarchical classification of central nervous system (CNS) tumors using approximately 20,000 hematoxylin and eosin (H\&E) whole-slide images (WSIs) collected at Huashan Hospital Fudan University and Shandong Provincial Hospital. Archived pathology slides and linked de-identified clinical, histopathological, and molecular diagnostic data from patients who underwent neurosurgical tumor resection or biopsy between January 1, 2010 and December 31, 2025 will be retrospectively analyzed. The study aims to train and evaluate weakly supervised multiple-instance learning models using pathology foundation models and conventional convolutional neural network feature extractors to predict tumor category, tumor family, terminal WHO 2021 CNS tumor diagnosis, and selected molecular alterations directly from routine H\&E slides. Internal model validation will be performed using patient-level training, validation, and hold-out test datasets. Secondary analyses include comparison of model architectures, virtual molecular profiling, interpretability analyses using attention heatmaps, and comparison of AI-assisted versus pathologist-only diagnostic performance on selected internal test cases.

As population aging accelerates, infectious diseases have become a major factor affecting the health, quality of life, and survival outcomes of older adults. Immunosenescence, chronic low-grade inflammation (inflammaging), and dysbiosis of the respiratory and gut microbiota are considered important mechanisms underlying increased susceptibility to infection and a higher risk of severe disease in older adults. However, the interactions among these factors and their impact on infection-related outcomes remain incompletely understood. Building upon a previously established pilot cohort of older adults, this study aims to further identify and validate key biological characteristics and risk factors associated with infectious diseases through large-scale population follow-up. A large prospective cohort of older adults will be established, while retrospective healthcare data collected since 2019 will also be integrated. Demographic information, comorbidities, medication history, infection-related clinical data, and biological specimens, including blood, urine, fecal, and respiratory samples, will be collected for long-term longitudinal follow-up. By integrating immunological assessments, immune repertoire analyses, microbiome profiling, and other multi-omics technologies, this study will systematically evaluate the effects of immunosenescence, respiratory and gut microbiome alterations, and environmental and climatic factors on the occurrence, severity, and prognosis of infectious diseases in older adults. The study aims to identify key biomarkers and microbial signatures associated with infection risk and to develop risk prediction and early warning models for infectious diseases in older adults, thereby providing scientific evidence for precision prevention, optimized clinical management, and public health decision-making in aging populations.

The aim of this pilot study is to assess the efficacy of amiloride in reducing wall enhancement in vertebrobasilar dolichoectasia(VBD) on high-resolution magnetic resonance vessel wall imaging(HR-VWI) via anti-inflammatory mechanisms, clarify the efficacy of amiloride in delaying the progression of VBD, evaluate the safety of amiloride in the treatment of VBD.

The aim of this pilot trial is to assess the efficacy of sirolimus in reducing wall enhancement in vertebrobasilar dolichoectasia(VBD) on 5 T high-resolution magnetic resonance vessel wall imaging(HR-VWI) via anti-inflammatory mechanisms, clarify the efficacy of sirolimus in delaying the progression of VBD, evaluate the safety of sirolimus in the treatment of VBD.

Mental disorders have become a major contributor to the global burden of non-communicable diseases, with disability-adjusted life years (DALYs) attributable to these conditions continuing to rise. Although evidence suggests that environmental factors may account for up to 40% of the attributable risk for mental disorders such as major depressive disorder, anxiety disorders, and alcohol use disorder, the underlying mechanisms remain unclear, particularly regarding how dynamic environmental stress influences disease onset, progression, and relapse. Traditional research has primarily focused on individual-level psychosocial factors, including socioeconomic status and life events, while lacking real-time, multidimensional assessments of objective urban environmental stressors such as air pollution, noise exposure, and reduced green space. This study proposes a prospective longitudinal cohort design based in real-world environments, enrolling both patients with mental disorders and healthy controls. Using wearable devices integrated with the "'StreetMind'" mobile application and wear the visible watch, we will continuously and dynamically collect multimodal data on environmental exposures and physiological responses in urban settings. These include photoplethysmography (PPG)-derived heart rate, oxygen saturation, physical activity, and gait parameters, as well as objective environmental indicators such as temperature, humidity, light intensity, and noise levels. At baseline, all participants will undergo standardized psychiatric assessments to characterize depressive, anxiety, and addictive conditions. Peripheral blood and urine samples will also be collected for subsequent molecular and multi-omics analyses. The study aims to systematically evaluate the associations between urban environmental factors-including air pollution, noise exposure, and green space availability-and the risk of mental disorder relapse. Furthermore, it seeks to elucidate the potential mechanisms by which environmental stress affects mental health through neuroinflammation and alterations in brain circuitry. The findings are expected to provide novel insights for risk prediction, early intervention, and precision management of mental disorders.

I. Study Background: Currently, in most medical institutions, the review of blood cell analysis still heavily relies on manual verification by laboratory staff. This process requires a comprehensive analysis of instrument parameters, alarm flags, historical comparison results, and, when necessary, microscopic examination. However, with the increasing volume of test samples and the high concentration of review tasks during peak hours, the traditional manual review model increasingly shows problems such as prolonged turnaround time (TAT), uneven workload distribution, and decreased consistency in reviews. In recent years, intelligent review systems based on Large Language Models (LLM) have shown potential in analyzing abnormal results and stratifying sample risks by integrating preset rules, clinical diagnostic information, and multi-dimensional laboratory data, which is expected to optimize the review workflow. II. Study Objective: To evaluate the difference in overall sample review turnaround time between the experimental process and the control process during the formal study phase, and to test its superiority. III. Subjects: The investigators need to recruit approximately 20,000 subjects, regardless of age or gender. IV. Study Procedures: If participants agree to participate in the study, participants only need to allow us to use participants test results after participants have completed your routine blood test (CBC). V. Risks and Benefits: 1. Risks: This study poses no risk to the subjects. The investigators only use the result data of patients after participants have had their routine blood test; there is no need for patients to undergo additional blood draws. 2. Benefits: It will shorten the turnaround time for routine blood test results and share the workload of doctors in reviewing these results. VI. Privacy: All of participants information will be kept strictly confidential and will only be used for this scientific research.

The goal of this observational study is to establish and validate a comprehensive AI-driven clinical decision support system (AI-CDSS) in whole-chain management for pulmonary tuberculosis (TB) patients. The main question it aims to answer is: How is the predictive performance of this system in terms of multiple key links during TB diagnosis and treatment? Can real-world benefits be derived from this system? This AI framework supports clinicians in making smarter decisions, ultimately improving cure rates and ensuring that every patient receives the most effective, personalized care possible.