Clinical trials

This study aims to assess the efficacy of a new biomarker, N6-threonylcarbamoyladenosine (t6A), for the early diagnosis of Early-Onset Sepsis (EOS) in newborns.

\*\*Study Goal:\*\* The purpose of this clinical trial is to determine if combining high-frequency micro-ultrasound with multiparametric MRI biopsy and a systematic biopsy can better detect clinically significant prostate cancer compared to current standard methods. This study is aimed at men who may have prostate cancer. \*\*Main Questions the Study Aims to Answer:\*\* 1. Does the combination of new biopsy methods detect more clinically significant prostate cancers than the current standard method? 2. Does the new method not increase the detection of less serious forms of cancer beyond what the standard method detects? \*\*Participation in the Study:\*\* Participants in this study will undergo the following procedures: * A high-frequency micro-ultrasound examination of the prostate. * A multiparametric MRI-targeted biopsy of the prostate. * A systematic biopsy of the prostate. \*\*Comparison Group:\*\* Researchers will compare the new combination method with the current standard method to see if the new approach is more effective. \*\*Participants will:\*\* * Undergo several exams and biopsies depending on the results of previous tests. * Attend regular follow-up appointments to monitor potential side effects and evaluate prostate health. * Record their experiences and any symptoms in a diary.

Brief Summary The purpose of this study is to determine if artificial intelligence (AI) can assist doctors in detecting broken bones, effusions, dislocations and bone lesions more quickly and accurately in an emergency room setting. The study will also evaluate whether AI can save time and reduce costs in healthcare. The main questions to be addressed are: * Does AI improve the accuracy of detecting broken bones/dislocations/effusions/bone lesions? * Can AI expedite the process of diagnosing broken bones/dislocations/effusions/bone lesions? * Does AI reduce healthcare costs by enhancing efficiency? To investigate these questions, two groups of patients will be compared. One group will follow the traditional diagnostic approach, while the other group will utilize AI to assist in diagnosing X-rays. Participants in the study will: Undergo standard X-ray imaging of injured arms or legs, as part of routine care. Have X-rays reviewed by doctors with or without AI support, depending on the assigned group. The study will include patients of all ages presenting to the emergency room with an isolated injury or joint complaints. No additional tests or treatments beyond standard care will be involved.

This observational study aims to investigate the impact of different dietary patterns on brain tissue biomarkers in healthy young adults by measuring blood levels of NfL and GFAP. The primary research question is: Do vegan, vegetarian, or omnivorous diets influence NfL and GFAP levels?

To determine the Objective Response Rate (ORR) of immunotherapy with Nivolumab (Group 1) and Nivolumab plus Relatlimab (Group 2) in patients with locally advanced/metastatic squamous cell carcinoma of the skin using Response Criteria in Solid Tumors Version 1.1 (RECIST1.1) per site assessment (Time Frame Group 2: From first dose up to 5 years)