View clinical trials related to Alopecia.
Filter by:The goal of this study is to to evaluate the effectiveness of Ultrapulse for the treatment of androgenic alopecia among Malaysian. The main questions it aims to answer are: - the efficacy of Ultrapulse in treatment of androgenic alopecia among Malaysian - the safety and adverse effect of Ultrapulse treatment. - the quality of life of androgenic alopecia among Malaysian.
A multicenter prospective registry (STA2R) is conducted to assess systemic treatments for alopecia areata, focusing on effectiveness, safety, and long-term outcomes.
The objective of this Study is to confirm the safety during the long-term use of this drug and the effectiveness during the use of this drug under the actual use in the patients treated with this drug.
To determine the efficacy of oral Tofacitinib in the treatment of moderate to severe alopecia areata, totalis and universalis at tertiary care hospital of Karachi, Pakistan. Efficacy of treatment in patients presenting with alopecia areata will be assessed using SALT Score on follow up at 6,12 and 24 weeks where four categories of treatment response were defined: 0 (re-growth ≤10%), 1 (11-25%), 2 (26-50%), 3 (51-75%) and 4 (re-growth >75%). Efficacy will be considered if re-growth ≥ 2.
Artificial intelligence (AI) based on imaging holds tremendous potential to enhance visual diagnostic accuracy in the medical field. Amid the COVID-19 pandemic, limited access to in-person healthcare services drove shifts in medical care, hastening the adoption of telemedicine. In this context, AI usage for triage and decision support may be crucial for professionals to manage workload and improve performance. In dermatology, pigmented lesions, acne, and alopecia are three recurring pathology groups with high demand in dermatological centers. Both triage, clinical evaluation, and patient follow-up require in-person resources and specialist dedication. Employing tools like AI can benefit these professionals in reducing such processes and optimizing workload. Advancements in image recognition and interpretation, as well as in artificial intelligence, have spurred innovations in diagnosing various pathologies, including skin conditions. Computer-Aided Diagnosis (CAD) systems and other algorithm-based technologies have demonstrated the ability to classify lesion images with a competency comparable to that of an expert physician. In this study, the Legit.Health tool, developed by AI LABS GROUP S.L., which utilizes artificial intelligence to optimize clinical flow and patient care processes for skin conditions, will be evaluated. The purpose of this tool is to automatically prioritize patients with greater urgency, assign the type of consultation (dermatological or aesthetic), enhance diagnostic capability and detection of malignant pigmented lesions in auxiliary staff, and provide a visual record (photograph) of the condition for later review by external experts. Thus, the main objective of this study is to validate that Legit.Health, based on Artificial Intelligence, improves efficiency in clinical flow and patient care processes, thereby reducing time and cost of patient care through enhanced diagnostic accuracy and severity determination. The secondary objectives focus on measuring the diagnostic performance of Legit.Health: Demonstrate that Legit.Health enhances healthcare professionals' ability to detect malignant or suspicious pigmented lesions. Demonstrate that Legit.Health improves healthcare professionals' ability and precision in measuring the degree of involvement in patients with female androgenetic alopecia. Demonstrate that Legit.Health improves healthcare professionals' ability and precision in measuring the degree of involvement in patients with acne. Additionally, the study aims to assess the utility of this tool: Automate the triage/initial assessment process in patients presenting with pigmented lesions. Evaluate the reduction in healthcare resources usage by the center by reducing the number of triage consultations and directing the patient directly to the appropriate consultation (esthetic or dermatological). Evaluate Legit.Health's usability by the patient. Demonstrate that Legit.Health increases specialist satisfaction. Evaluate the reduction in healthcare resources usage by reducing the number of triage consultations and directing the patient directly to the appropriate consultation, whether in aesthetic or dermatological settings. Methodology Study Design Type This is an observational study, both prospective with a longitudinal character and retrospective case series. Study Period This study estimates a recruitment period of 3 months. The total study duration is estimated at 6 months, including the previous time for retrospective analysis and the necessary time after recruiting the last subject for database closure and editing, data analysis, and preparation of the final study report. The total study duration for each participant with pigmented lesions will be 1-3 months. The duration for patients with acne and alopecia will be 1 day. Study Population Adult patients (≥ 18 years) with skin pathologies treated at the Dermatology Unit of IDEI.
The goal of this clinical trial is to evaluate the safety and efficacy of Baricitinib in the treatment of frontal fibrosing alopecia (FFA).
Alopecia areata (AA) an autoimmune disorder of hair follicles results in varying degrees of scalp, facial and body hair loss. Clinically, patients' presentation varies from patchy circumscribed scalp involvement to total body and scalp hair loss affects up to 2% of the general population. The exact pathobiology of AA has still remained elusive, while the common theory is the collapse of the immune privilege of the hair follicle caused by immunological mechanism. Multiple genetic, environment factors and psychological stress contribute to the pathogenesis of Alopecia Areata . Recent insights into the pathogenesis of AA have led to the development of new treatment strategies, such as Janus kinase inhibitors, biologics and several small molecular agents. In addition, modern therapies for AA, including antihistamines, platelet-rich plasma injection
Androgenetic alopecia is a common condition affects both genders. Patients of androgenetic alopecia following inclusion criteria will be enrolled after ethical approval and informed consent. Pre-treatment assessment will be done by Physian Global assessment, Patient global assessment and hair density by trichoscopy of areas under treatment. Patients will be categorized in 2 groups. Group A receiving exosomes 1session intradermally in scalp after nerve block and group B receiving PRP 2 sessions of PRP 1 month apart intradermally in scalp after nerve block. Patients will receive exosomes at strength of 2 to 10 billion particles/5ml with 0.1 ml/cm2. Follow up will be done after 1 month, 2 months, 3 months, 5 months and 6 months of completion of treatment to assess hair growth and reduce hair fall by Physian Global assessment (PGA), Patient global assessment (PtGA) and trichography. Clinical response will be graded as satisfactory (< 25%), good (25-50%) or excellent (> 50%) improvement. Details will be entered on predesigned proforma. Data will be entered and analyzed using SPSS 27. Means will be calculated for quantitative variables, frequencies for qualitative variables like pre- and post treatment response. Data will be stratified for role of effect modifiers
Laser sources have established their potential effect in inducing hair regrowth. No study has compared the effect of ablative fractional 2940-nm erbium yttrium aluminum garnet (Er: YAG) laser and non-fractional 15650nm fractional laser in the treatment of androgenetic alopecia (AGA).
Microneedling and autologous concentrated growth factor (CGF) have established their potential effect in inducing hair regrowth. No study has compared the effect of microneedling and CGF in the treatment of female androgenetic alopecia (AGA).