DeCure's autonomous Rare AI scientist is researching a drug-repurposing hypothesis for phimosis — screening already-approved drugs against its 2-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.
Disease modulePhimosis maps to a 2-gene Open Targets module — the target space DeCure's AI scientist screens approved drugs against.
DeCure.ai methodSignature reversal (LINCS) plus network proximity (STRING) rank already-approved drugs likely to perturb this module — the same engine that produces DeCure.ai's repurposing hypotheses.
Repurposing thesisScreening approved medicines against this disease module, then publishing the evidence for the strongest candidate. Known pharmacology and human exposure data make the first question sharper — they do not establish safety or efficacy in a new indication.
Research record
01
ResearchComing soon
Candidate research + dossier — target rationale, drug-repurposing thesis and evidence pack.proof: Published dossier + on-chain hash
02
ValidationComing soon
In-vitro biological validation at a contract research org (CRO).proof: CRO contract + in-vitro report
03
Peer review & paperComing soon
Peer-reviewed paper published open-access (preprint + journal).proof: DOI + open-access link + on-chain hash
Current lead
No approved-drug candidate for phimosis is corroborated in the literature DeepSearch retrieved. Some conditions are managed with non-pharmacological care — a device, surgery or physical therapy — rather than a medicine; that may be the case here, or the literature we found may simply be too sparse yet to support a drug-repurposing angle.
Evidence
Retrieved by DeepSearch across 234,678,978 indexed works and resolved on OpenAlex — ranked by citations, including the results that did not work.
The Japanese Journal of Urology · 2001 · 6 citations · open access
TREATMENT OF PHIMOSIS WITH BETAMETHASONE OINTMENT IN CHILDREN
AbstractOBJECTIVE: We evaluated the efficacy of betamethasone ointment in the treatment of childhood phimosis and determined the most effective concentration of betamethasone. MATERIAL AND METHODS: Between August 1996 and May 2000, 69 patients (median age 3.0, range 0-12) presented to our department with severe phimosis (grade 4, Tsugaya's classification), and were enrolled in this study and treated with betamethasone ointment for 4 weeks. The ointment was applied on the narrowed preputial skin twice a day by parents. During the first week, parents were asked not to retract the foreskin. After this period, parents were encouraged to retract the foreskin gently and without intense tension. The concentration of betamethasone were 0.12%, 0.05% and 0.025%. If the patients become to be able to retract foreskin satisfactory, we consider the state as complete response. If he become to be able to retract to allow partial exposure of the glans, we consider the state as partial response. We compared the efficacy among each of the concentrations, and at 3 months after the end of the treatment, we also assessed the adverse effects and recurrence. RESULTS: The overall success rate was 85.5%. Success rates with 0.12%, 0.05% and 0.025% ointment were 96.8%, 82.8% and 55.6%, respectively (p = 0.0001). The 0.12% ointment was most effective. Recurrence was observed in 3 patients (4.3%). No adverse effects were observed in any of the patients. CONCLUSIONS: Treatment with betamethasone ointment is very effective, easy and safe. We recommend betamethasone ointment as the first treatment of choice for childhood phimosis.
AbstractPhimosis is a common problem in paediatric practice. The diagnosis of phimosis usually does not cause difficulties, but the treatment options are controversial, moreover than the improper management may contribute to the exacerbation of the problem. The aim of this study is to review current recommendations for phimosis management, in particular addressed to community paediatricians who are responsible for its diagnosis and treatment or patient's referral to paediatric surgeon/urologist.
Disease module: DeepOracle (Open Targets). Structures: RDKit from PubChem SMILES. Literature: retrieved by DeepSearch across 234,678,978 indexed works (targeted per-candidate search), resolved on OpenAlex.
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