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Browse 47,334 clinical trials for rheumatoid arthritis. Find studies that match your criteria and connect with research centers.
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NCT02955082
Prostate cancer (PrCa) is one of the commonest cancer in men in the Western world. In the United Kingdom (UK), there were over 52,000 new cases diagnosed in 2016-2018 and a lifetime risk of 1 in 8. Research studies have identified several genetic changes that are thought to increase the risk of developing prostate cancer. Some of these genetic changes occur in deoxyribonucleic acid (DNA) repair genes. The BARCODE 2 trial is formed of two parts that aim to investigate how having genetic changes in DNA repair genes can affect response to carboplatin treatment in patients with metastatic castration resistant prostate cancer (mCRPC). In part 1 of the study, the investigators will invite men with mCRPC who have not had genetic testing before to join the study by initially undergoing genetic screening within the study. The DNA repair gene mutation carrier status of enrolled patients will be assessed using a gene panel. If a pathogenic mutation is confirmed in one of these genes, patients will be given the option to proceed to part 2 of the study. In part 2 of the study, men with mCRPC who are known to be carriers of a mutation in DNA repair gene(s) will be assessed for eligibility for treatment on the study with carboplatin chemotherapy. The aim of the study will be to determine how patients with mCRPC and a germline mutation in a DNA repair gene(s) respond to platinum chemotherapy. This study will help researchers to investigate platinum sensitivity of prostate tumours that have developed due to a germline mutation in a DNA repair gene. This study will provide data to use in a larger clinical trial of platinum chemotherapy based on patients' germline genetic signature and/or tumour genetic profile.
NCT00600717
The objective of this study is to utilize high-frequency brain signals (HFBS) to localize functional brain areas and characterize HFBS in epilepsy, migraine, and other brain disorders. Our goal is to create the world's first high-frequency MEG/EEG/ECoG/SEEG database for the developing brain. HFBS include high-gamma activation/oscillations, high-frequency oscillations (HFOs), ripples, fast ripples, spikelets, fast spikelets, and very high-frequency oscillations (VHFOs). While terminologies and frequency bands may vary among reports, both HFOs and high-gamma waves are crucial for understanding brain function and developing potential treatments for neurological disorders. We have been developing an intelligent software platform to analyze signals from low to very high-frequency ranges across multiple frequency bands. To achieve these goals, we have developed several innovative techniques and software packages: * Accumulated spectrogram * Accumulated source imaging * Frequency-encoded source imaging * Multi-frequency analysis at source levels * Artificial intelligence detection of HFOs * Neural network analysis (Graph Theory) * Other techniques (e.g., Independent Component Analysis, virtual sensors) These methods enable researchers to better understand the characteristics and significance of HFOs and high-gamma brain waves, contributing to advancements in the diagnosis and treatment of neurological disorders.