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480-510 / 1000+ resultsresearch Supplemental Figure 1 for "Time to Maximal Response with Low-Dose Oral Minoxidil in Clinical Treatment of Androgenetic Alopecia"
research S1:05 Cutaneous lupus subtypes: the tissue response influences the phenotype
research Significant improvement with ivarmacitinib after suboptimal response to tofacitinib in severe alopecia areata: a case report and literature review
Ivarmacitinib significantly improved hair regrowth in severe alopecia areata after tofacitinib was less effective.
research Objective and Subjective Assessments of the Response of Photobiomodulation Therapy Against Alopecia Areata
Photobiomodulation therapy effectively promotes hair regrowth and improves quality of life in alopecia areata without side effects.
research Real-World Quantification of Treatment Response to Low-Dose Oral Minoxidil in Non-Scarring Alopecia
Low-dose oral minoxidil significantly improves hair density in non-scarring alopecia.
research The Application Progress of Tumor Microenvironment-Responsive Drug Carriers in Precision Chemotherapy
Tumor-targeted drug carriers can improve chemotherapy precision and reduce side effects.
research Adjunctive Dupilumab Therapy in a Partial Responder to Baricitinib for Alopecia Areata
Adding dupilumab led to almost complete hair regrowth in a patient with alopecia areata who only partially responded to baricitinib.
research Mimicking Senescence Factors to Characterize the Mechanisms Responsible for Hair Regression and Hair Loss: An In Vitro Study
TGF-β1 and FGF-18 are key in hair loss, and Minoxidil helps hair growth.
research Therapeutic Burden as Predictor of Response to Baricitinib for Alopecia Areata in Real Life: Prospective Study
Patients with fewer past treatments for alopecia areata respond better to baricitinib.
research Alopecia areata and ritlecitinib: Unravelling response trajectories
Ritlecitinib is effective for long-term hair regrowth in alopecia areata, especially in females and early treatment.
research IMPACT OF BIOMARKER IN PREDICATIVE TO RESPONSE ADJUVANT CHEMOTHERAPY AND OVERALL SURVIVAL IN FEMALES INFECTED WITH BREAST CANCER: A REVIEW ARTICLES
Certain genes can predict how well breast cancer patients respond to chemotherapy.
research SULT1A1 enzyme booster to amplify topical minoxidil response in androgenic alopecia: a single-center prospective study
The SULT1A1 enzyme booster improves minoxidil effectiveness in treating hair loss, especially in females.
research Value of Sulfotransferase Enzyme Assay in Predicting Minoxidil Response in Patients with Androgenetic Alopecia
Higher sulfotransferase enzyme levels predict better response to minoxidil for hair growth.
research Circulating monocytes as a marker of response to adalimumab in patients with hidradenitis suppurativa
Higher monocyte counts predict less effective adalimumab treatment in hidradenitis suppurativa patients.
research Circumscribed Alopecia Areata Incognita and Response to Tofacitinib
Tofacitinib helped a woman regrow her hair without relapses after other treatments failed.
research LB922 CyTOF immune profiling uncovers sex- and race-specific differences and cellular biomarkers for biologic response in Hidradenitis suppurativa
Sex and race affect immune responses and treatment outcomes in Hidradenitis suppurativa.
research Congenital Triangular Alopecia: A Case of Effective Response with 5% Topical Minoxidil in a Male Adolescent
5% topical minoxidil effectively treated a boy's congenital triangular alopecia without side effects.
research Is polymorphism of the STK11 gene a predictor of response to metformin in polycystic ovarian syndrome?
STK11 gene polymorphism does not predict metformin response in PCOS.
research Effectiveness and Predictive Factors of Response to Tofacitinib Therapy in 125 Patients with Alopecia Areata: A Single-centre Real-world Retrospective Study
Tofacitinib is effective for treating alopecia areata, and starting treatment early may improve results.
research Dissecting the genetic variations associated with response to first-line chemotherapy in patients with small cell lung cancer: a retrospective cohort study
Increased EGFR gene variations may predict chemotherapy outcomes in small cell lung cancer patients.
research 43755 Rapid Reduction and Strict Complete Response in Itch With Oral Difelikefalin in Subjects With Notalgia Paresthetica and Moderate-to-Severe Pruritus
Oral difelikefalin significantly reduces itch in notalgia paresthetica.
research Sex-Related Differences in the Pharmacological Response in SARS-CoV-2 Infection, Dyslipidemia, and Diabetes Mellitus: A Narrative Review
Men and women respond differently to drugs for COVID-19, high cholesterol, and diabetes, which suggests a need for personalized treatments.
research Panoramic Trichoscopy as a novel Assessment Response Method to Diffuse Alopecia
Panoramic Trichoscopy is a new, better way to assess widespread hair loss.
research 705 Particulate matter induces inflammatory response in human outer root sheath cells via oxidative stress-dependent MAPK and JAK-STAT signaling pathways
Particulate matter causes inflammation in hair cells, potentially harming hair growth.
research Are STK11 polymorphisms a predictor of the response to metformin in polycystic ovarian syndrome?
STK11 gene variations do not predict how well metformin will work for PCOS, but may affect hair loss and excess hair growth.
research Use of intramuscular triamcinolone acetonide in intermediate responders to janus kinase inhibition for alopecia areata: Case report
IMTA can help regrow hair in severe alopecia areata when JAK inhibitors don't work well.
research Dermal Papilla Cells and Melanocytes Response to Physiological Oxygen Levels Depends on Their Interactions
Oxygen levels affect hair growth and color cells differently when they interact directly.
research A Cellular Study of Inflammatory Responses in Women with Polycystic Ovary Syndrome as: “An In vitro Model of Anti Breast Tumor Response”A Case Control Study
Women with PCOS may have a reduced ability to fight breast tumor cells over time.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.