Children are commonly hospitalized because of community-acquired pneumonia (CAP). There are multiple high-quality randomized trials of short-course antibiotic therapy (3-5 days of treatment) for adults hospitalized with CAP - but there is very little evidence in children. We intend to do a pilot RCT of short-course (3-5 days) vs standard-duration (8-10 days) antibiotic therapy for children hospitalized for CAP.

This study aims to develop and validate a test for detecting ovarian and endometrial cancers early. It relies on detecting somatic mutations that are associated with these cancers from a uterine pap test. A saliva sample is also collected that acts as an internal control and has the ability to detect deleterious germline mutations associated with common hereditary cancers (such as breast, ovarian, endometrial, colon, and pancreatic cancers). A machine learning classifier is then used to discriminate between cancer and benign disease.

This is an open label, phase I/II, multi-center study in adult participants with metastatic hormone sensitive prostate cancer (mHSPC) and with metastatic castration resistant prostate cancer (mCRPC) who have received prior anti-cancer treatment and have a positive 68Ga-PSMA-11 PET scan. The purpose of this study is to learn if the study drug, \[225Ac\]Ac-PSMA-R2, is safe and tolerable, and has anti-tumor activity in treated patients.

Our project aims to develop a rapidly acquired and communicated MRI assessment and report that incorporates functional and structural imaging to convey information about functional neurological insults following traumatic brain injury (TBI) that are not typically visible on clinical imaging. Within this framework, there are two sub-studies. The first is a prospective study of patients with TBI who will have an MRI in the sub-acute period after their injury, followed by clinical assessments up to 90 days post-injury. A model will be developed to link MRI biomarkers to persistent symptoms of TBI. The second sub-study will use a focus group methodology to develop the report content and format with input from several groups of stakeholders.

This phase I trial studies the side effects and best dose of TAK-243 in treating patients with acute myeloid leukemia or myelodysplastic syndromes with increased blasts that has come back (relapsed) or that is not responding to treatment (refractory). TAK-243 may stop the growth of cancer cells by blocking some of the enzymes needed for cell growth.

Total knee arthroplasty (TKA) is a surgical procedure commonly conducted for patients with end-stage knee osteoarthritis, often leading to improved pain relief and function. However, for patients that have suffered an associated periprosthetic fracture, a broken bone that occurs around the implant of a TKA, they may receive sub-optical care due to a lack of a trustworthy assessments for component fixation and fracture healing in the literature. The prevalence of TKA surgeries is increasing annually and is projected to rise further due to an ageing population and obesity issue. By extension to this primary surgery, more Canadians will require an invasive revision surgery that risks patient morbidity and mortality. Thus, it is imperative to set a standard for fixation and bone healing assessments to lessen revision burdens and improve patient outcomes. CT imaging can effectively visualize areas of incomplete bone ingrowth that may be hidden from overlapping anatomy on plain radiographs, which remains the go-to imaging modality for orthopaedic surgeons to assess periprosthetic fracture healing. The purpose of this prospective cross-sectional study is to examine the efficacy of weight-bearing CT as a diagnostic tool for 20 participants who experienced a distal femur periprosthetic fracture and underwent revision surgery using a fracture fixation plate and screws. Participants will be scanned under loaded and unloaded conditions. Radiographic outcomes will be evaluated, including bone segment displacement and its relation to participants' reports of pain.

Depression is a leading cause of disability worldwide, affecting up to 300 million people globally. Despite its high prevalence and debilitating effects, only one-third of patients newly diagnosed with depression initiate treatment. Electronic cognitive behavioural therapy (e-CBT) is an effective treatment for depression and is a feasible solution to make mental health care more accessible. Due to its online format, e-CBT can be combined with variable therapist engagement to address different care needs. Typically, a multi-professional care team determines which combination therapy is the most beneficial to the patient. However, this process can add to the costs of these programs. Artificial intelligence (AI) technology has been proposed to offset these costs. Therefore, this study aims to determine a cost-effective method to decrease depressive symptoms and increase treatment adherence to e-CBT. This will be done by comparing AI technology to a multi-professional care team when allocating the correct intensity of care for individuals diagnosed with depression. This study is a double-blinded randomized controlled trial recruiting individuals (n = 186) experiencing depression according to the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5). The degree of care intensity a participant will receive will be randomly decided by either: (1) a machine learning algorithm (n = 93), or (2) an assessment made by a group of healthcare professionals (n = 93). Subsequently, participants will receive depression-specific e-CBT treatment through the secure online platform, OPTT. There will be three available intensities of therapist interaction: (1) e-CBT; (2) e-CBT with a 15-20-minute phone/video call; and (3) e-CBT with pharmacotherapy. This approach aims to accurately allocate care tailored to each patient's needs, allowing for more efficient use of resources.

The goal of this observational study is to better understand the role of the brain in chronic low back pain patients.

The primary objective of this study is to evaluate the long-term safety and tolerability of dazodalibep.

Background There are significant limitations in the current approaches to assessing 2 important areas of cardiovascular physiology - the systemic circulation and left ventricular (LV) performance. The investigators' have repurposed the concepts of "systemic vascular conductance" to assess systemic circulation, and the "head capacity principle" to assess LV performance. The investigators' now seek to test these concepts in human adults, with heart failure and without heart failure, using non-invasive methods. Hypothesis There will be a depressed head-capacity curve and reduced power among patients with heart failure which will indicate compromised left ventricular pump function. Methods The research study will involve a single outpatient visit per subject. The study will take place with the subject supine on a bed/table. The subjects will be instrumented with EKG electrodes and finger blood pressure cuffs. The continuous finger BP device performs a waveform analysis in real-time to determine the non-invasive stroke volume, cardiac output, and blood pressure. The patient will be supine for at least 5 minutes to collect baseline data before being handed a dynamometer device. The subject will then be asked to squeeze the dynamometer with maximum force for a minimum of 2 minutes while only engaging their forearm and remaining relaxed in the rest of their body. The subject will then release the dynamometer and remain supine, in recovery, for a minimum of 5 minutes. Following the handgrip test, the instrumentation will be removed and the patient's participation in the study will be complete. The study duration should be about 20 min.