View clinical trials related to Breast Cancer.
Filter by:ODELIA is a project that aims to improve breast cancer detection in magnetic resonance imaging by utilizing artificial intelligence and swarm learning (MRI). The project will create an open-source swarm learning software framework that will be used to train AI models for breast cancer detection. These models' performance will be compared to that of conventional AI models, and the results will be used to assess the effectiveness of swarm learning in improving the accuracy and robustness of AI models. The project will use retrospective, anonymized breast MRI datasets with manual ground truth labels for cancer presence. The study is not associated with any patient treatment or intervention. The project's goal is to provide evidence of the clinical benefits of swarm learning in the context of breast cancer screening, such as accelerated development, improved performance, and robust generalizability.
In this study, color Doppler ultrasound diagnostic instrument and electronic grip device were used to determine the best grip strength of patients with tumor PICC catheterization, formulate precise and standardized grip strength training guidance for them, provide personalized functional exercise health education, and observe the impact of precise grip strength training guidance on Peripheral central venous catheter-associated thrombosis. To provide a reference for clinical prevention of Peripheral central venous catheter-associated thrombosis in the future.
This study aims to evaluate the comparative risk of dementia/Alzheimer's disease onset between patients treated with medications that target specific metabolic pathways and patients treated with alternative medications for the same indication.
This is a Phase III, double-blind, randomized multicenter study to compare the efficacy and to evaluate the safety and immunogenicity of QL1701 and Herceptin® in patients with human epidermal growth factor receptor 2 (HER2)-positive, locally recurrent or previously untreated metastatic breast cancer.
The aim of this trial is to explore the real-world effectiveness and poteintial predictors in Chinese metastatic breast cancer patients.
To investigate the efficacy and safety of Dalpiciclib, Fulvestrant, Trastuzumab and Pertuzumab in HR+/HER2+ Metastatic Breast Cancer
Pyrotinib Plus Trastuzumab Versus Pertuzumab Plus Trastuzumab
To investigate the efficacy and safety of ADC rechallenge
This trial studies how well an electronic (e)-health support program, called the PACK Health Program, supports patient reported symptoms in newly diagnosed patients with breast cancer. PACK Health offers a symptom management program involving both interpersonal interaction, as well as e-modules for patients diagnosed with cancer to better manage pain, fatigue, depression, anxiety, and to navigate care more effectively through e-health coaching and tools. Participating in the PACK Health Program may support breast cancer patients' reported side effects and experience of care during chemotherapy treatment and may ultimately improve overall health.
Introduction: Cancer is the main public health problem in the world and is already among the main causes of death. Breast CA will be the second most common type of cancer in the Brazilian population between 2020-2022. The pandemic caused by COVID-19 brought several changes in society, affecting health services, one of which was the need to maintain regular treatment for various health conditions, such as cancer. Physical therapy is an essential part of the multidisciplinary treatment of cancer patients. With the new technologies available, it is possible to allow continuous treatment of cancer patients, even during quarantine, and one possibility is the application of information and communication technologies to provide rehabilitation therapy to remote people, called home telerehabilitation. Objective: To verify the effect of virtual reality (VR) training on motor performance, pain and heart rate variability variables in patients diagnosed with breast cancer. Methods: The study will be composed of 30 women over 18 years old with a diagnosis of breast cancer attended at an oncology physical therapy clinic in the city of Juiz de Fora - MG. Participants will undergo training using virtual reality technology, always guided by the researcher. There will be a total of 10 (ten) interventions, with two training sessions per week. The participant will be guided by a researcher who will instruct her online. Five games will be used: Reaction Time, Coincident Timing, Fitts, Genius, MoveHero. Participants will answer some questionnaires and scales such as EORTC QLQ-C30 which assesses quality of life in cancer patients, perceived exertion scale will be applied before and between matches, a mood scale (BRUMS) will be applied at the beginning and at the end of training and Affective Analog Face Scale for pain assessment and analysis of Heart Rate Variability (HRV) that will be performed before, during and after the first and last training, through a heart rate monitor that will be given to each participant and an application cell phone (Elite HRV).