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This study aims to compare conventionally acquired Left Ventricle Ejection Fraction (LVEF) and Global Longitudinal Strain (GLS) data to Artificial Intelligence (AI) driven automated processing of 2 dimensional contrast and 2 dimensional non-contrast resting transthoracic echocardiograms for application in the assessment of patients undergoing chemotherapy with cardiotoxic drugs. This is a single-centre retrospective study which utilizes echocardiographic DICOM image and meta-data datasets received from a Canadian site. Data processed using the AI driven automated processing will be compared to conventionally acquired LVEF and GLS measurements and results will be analysed to determine accuracy and precision.
Pilot feasibility study of the ReVital Chemotherapy Online Resiliency Evaluation (CORE) program. As part of standard of care, patients starting a new chemotherapy regimen are referred to complete a pre-chemotherapy cancer rehabilitation evaluation (i.e., prehab) and invited to enroll in the ReVital-CORE program study. Once enrolled in ReVital-CORE, participants will complete a monthly online evaluation for 1 year. If frailty (or pre-frailty) is detected on any survey, physical or occupational therapy will be initiated for standard of care rehabilitation evaluation and treatment.
The aim is to analyze the feasibility and effect of an online Therapeutic Exercise and Education programme (TEEP) in cancer patient and survivors
The purpose of this study is to evaluate pharmacogenomics (PGx) guided drug prescribing for pain and depression in patients with cancer. The investigators aim to understand how PGx testing can be used to improve medication management for pain and depression, and whether PGx-guided prescribing improves these symptoms and quality of life compared to historical controls.
Background: Cancer pain can have a very negative effect on people s daily lives. Researchers want to use machine learning to detect facial expressions and voice signals. They want to help people with cancer by creating a model to measure pain. They want the model to reflect diverse faces and facial expressions. Objective: To find out whether facial recognition technology can be used to classify pain in a diverse set of people with cancer. Also, to find out whether voice recognition technology can be used to assess pain. Eligibility: People ages 12 and older who are undergoing treatment for cancer Design: Participants will be screened with: Cancer history Information about their gender and skin type Information about their access to a smart phone and wireless internet Questions about their cancer pain Participants will have check-ins at the clinic and at home. These will occur over about 3 months. They will have 2-4 check-ins at the clinic. They will check in at home about 3 times per week. During check-ins, participants will answer questions and talk about their cancer pain. They will use a mobile phone or a computer with a camera and microphone to complete a questionnaire. They will record a video of themselves reading a 15-second passage of text and responding to a question. During the clinic check-ins, professional lighting, video equipment, and cameras will be used for the recordings. During remote check-ins, participants will be asked to complete the questionnaire and recordings alone. They should be in a quiet and bright room. The room should have a white wall or background.
The primary objective of this research study is to assess Radiation Oncology healthcare providers (i.e. faculty, residents and advanced practice providers (APPs) implementation and perception of telehealth for on treatment patients in lieu of in person on treatment visits during standard of care radiotherapy during COVID-19.
The overall goal of the proposed research is to assess the feasibility of a randomized study evaluating the non-inferiority of an electronic Health (e-Health) delivery alternative (e.g. private web portal) as compared to return of actionable genetic research results with a genetic counselor.
The goal of this research is to study an intervention, which the investigators call "Remote Electronic Patient Monitoring," that entails vital sign data (enabled with smart algorithms for notification) and patient-reported outcomes (PROs), (such as physical and psychological symptoms) intended to address and manage any concerning issues and or diagnoses identified. Specifically, the plan is a study of oncology patients who will use the Gaido system for up to 21 days or per physician order.
The aim of the present study is to examine whether the nature based 'Wild man Programme' can help to increase quality of life among men on sick leave compared to treatment as usual. Additionally, the study examines which natural environments best work as supportive environments in the rehabilitation.
The purpose of this study is to compare the uptake of genetic testing among patients randomized with two different models of genetic services delivery (a patient-directed model and an enhanced standard of care model) and examine whether the impact on uptake differs by race/ethnicity and rurality. This study will also compare the effect of these delivery models on adherence to cancer prevention and screening recommendations and other patient responses.