View clinical trials related to Disease.
Filter by:Supplements and functional foods are now readily available and usable by the general population. Many supplemnets are commonly used in poly-treated patients where interactions or adverse events may develop, therefore we evaluate in the rela life the use of nutraceuticals, their clinical effects and the development of adverse drug reactions
We are conducting a proof-of-concept trial to study the impact of HRV-biofeedback, a mind-body technique designed to improve stress resilience, on the quality of life, mood, and clinical skin severity of patients with psoriasis.
Eating disorders (ED) are severe but treatable conditions, but there are large margin for improvements in terms of efficacy and adherence. There is room to explore new treatment options who are either more capable to retain patients in therapy, more effective. Alternative their efficacy may match the ones of current available treatments but offer new options to ones that did not respond to available therapies. Here the investigators explored if a combination of CBT-focused plus Metacognitive Interpersonal Therapy (MIT) is an empirically supported therapy for personality disorders and could be a new viable treatment option for non-underweight ED. MIT targets some aspects of ED such as poor awareness of mental states and maladaptive interpersonal schemas that are not included in the transdiagnostic model underlying the most investigated empirically supported treatment for ED that is CBT-E. It is reasonable therefore that targeting these aspects of psychopathology can be a path to treatment adherence and effectiveness
The purpose of this study to pilot test an accessible and inclusive artificial intelligence (AI)-assisted, individualized, family-focused lifestyle modification intervention (AI4CHRON) for health-related quality of life for adults with impaired mobility and chronic medical conditions.
Affective disorders (mainly including major depressive disorder and bipolar disorder) are common, chronic and highly disabling mental disorders, which lack of objective biological markers. It is believed that genetic and environmental factors are involved in the development of affective disorders. Gut microbes can affect the function of brain neural circuits by mediating metabolic, immune, endocrine and autonomic changes along the brain-gut axis. The brain can also regulate intestinal microbes through endocrine, neural structure, neurogenic exosomes and other pathways. Based on the brain-gut axis, this study intends to establish a large cohort of affective disorders, and screen out efficient and convenient biomarkers for clinical diagnosis and efficacy prediction by studying key indicators such as intestinal microbes, serum metabolites and immune indexes, brain-derived exosomes, and brain functional imaging.
The current study aims to investigate the effect of walking with the SAIRE smart walker on spatiotemporal parameters and gait kinematics in a population who suffer from difficulties during gait, and compare this to walking with a standard walker or no walking aid.
An accumulation of research evidence has pointed to parent-implemented communication treatment as effective in reducing the severity of social communication deficits in preschool children with ASD. Despite even high-quality evidence, real-world translation to clinical practice remains challenging, especially for children from lower-income families, for two reasons. First, the treatment outcome is highly variable despite study-level efficacy data, most likely due to unique child and parent factors that make treatment response uneven across individual children. Second, the cost of intervention with the largest effect sizes remains high due to its one-on-one format. With the overarching goal to reduce cost and to increase treatment effectiveness at the individual-child level, this project will conduct a randomized controlled trial (RCT) to compare the effectiveness of two options for intervention to address two specific objectives. The investigators will first ascertain whether parent-implemented communication treatment taught by a speech therapist in an Individual (one-on-one) format is more effective than treatment taught in a Group format (up to 8 families learning together) at the study level. The Individual format is at least 4 times more expensive than the Group format; its relative treatment effect must be empirically ascertained to justify its cost. The investigators will then evaluate what combinations of parent and child behavioral and neural factors determine which format of intervention is likely to be more effective at the individual-child level. It is likely that not all families require the more costly Individual format of intervention. Machine-learning analytics with cross-validation will be used in constructing predictive models of treatment response, which will increase the likelihood of these models being generalizable to new patients. This study will be among the first examples of fulfilling the promise of Precision Medicine in providing guidance to patients and families with developmental disorders not about whether to receive intervention but which option for intervention to receive in the context of multiple options. This predict-to-prescribe approach of ASD intervention will likely lead to a paradigm shift in clinical practice and ultimately result in lowering the overall cost and increasing the effectiveness of intervention for children with ASD as individuals.
Heart rate variability biofeedback (HRVB) is an biobehavioral intervention involving rhythmic breathing at resonance frequency that stimulates cardiovascular regulatory systems to help individuals better regulate affect and bolster cognitive control. This intervention has already shown its potential as a substance use disorder (SUD) treatment tool, but practical limitations of its accessibility, labor intensiveness, and cost have previously prevented this intervention from going to scale. Second-generation, ambulatory HRVB technology, however, has overcome these limitations and now allows patients to practice HRVB in-the-moment when its needed most. This study is testing the efficacy of second-generation, ambulatory HRVB for the first time with individuals with SUD.
Parkinson's disease (PD) is a progressive neurological disorder characterized by motor and non-motor symptoms such as rigidity, bradykinesia, resting tremor, cognitive and autonomic dysfunctions, gait and balance difficulties. The impairment of gait, balance and cognitive performances is partially responsive to dopaminergic medications. This emphasizes the importance of non-pharmacological interventions for people with PD (pwPD). Intensive multidisciplinary motor and cognitive rehabilitation has been proposed as a complementary and effective treatment for managing pwPD. Several structural and physiological mechanisms have been suggested to underpin exercise-induced neuroplastic changes in PD, such as enhanced synaptic strength and preservation of dopamine neurons. To date, studies on brain changes induced by motor and cognitive exercises in pwPD have been small-scaled and uncontrolled. Identifying accessible and measurable biomarkers for monitoring the events induced by intensive motor and cognitive rehabilitation program would help in testing the treatment effectiveness and would allow personalization of rehabilitation strategies by predicting patients' responsiveness. Based on validated clinical assessments of intensive multidisciplinary rehabilitation treatment, the project will test the ability of a new set of biomarkers to evaluate rehabilitative outcomes in a cohort of people with PD.
Study objective: To establish a quality control system for gastrointestinal endoscopy based on artificial intelligence technology and an auxiliary diagnosis system that can perform lesion identification, improving the detection rate of early gastrointestinal cancer while standardizing, normalizing, and homogenizing the endoscopic treatment in primary hospitals (including some of the primary hospitals, which are participating in Beijing-Tianjin-Hebei Gastrointestinal Endoscopy Medical Consortium) under Gastrointestinal Endoscopy Artificial Intelligence Cloud Platform as the hardware base. Study design: This study is a prospective, multi-center, real-world study.