Volume 9 ; Issue 2 ; in Month : July-Dec (2026) Article No : 184
Sengamalam R, Cathin AL, Meeran MMM, et al.

Abstract

Haloperidol is a high-affinity sigma(1)receptors especially Guinea pig brain or rat liver membrane in tris-HCl buffer at pH:8.00. Our aim is to identify and investigate fungus infected skin infections inclusive of metabolic disease and HIV infection in Asian and African black race community, rehabilitation and chronic alcohol withdrawal side effects symptoms. Implementation of sustainability factor using 7R principle specially reduction sustainability in Haloperidol ointment-22 out of rethink, refuse, reuse, repair, repurpose and recycle disease monitoring in skin disease patients. Our microbiological test results degradation reaction is mapped with non-degradation reaction in synthetic qualitative test using FC-reagent. Our formulation was designed as a innovative ratio proportion method 1:13.33 active ingredient Haloperidol and papain-urea debridement ointment and developed microbiological examination using sequence addition of amla rust, softrot and anthracnose fungus incorporation with ointment formulation. These formulations were framed using factors such as impaired immunity, loss of hair, ammonia accumulation, impair vision, and clot retraction. Deep learning model algorithms is proposed to diagnose disease detection, optimum classification - reaction, classification - probability, classification-skin application time using original data set 418 softrot, 214 blue mould,513 rust,490 healthy. Out of three amla fungus disease blue mould investigations as utilized for treatment of skin disease drug addiction patients especially rehabilitation procedures. Finally concluded that haloperidol-22 ointment was shown in the zone of inhibition on the 66th day of microbiological test. Degradation reaction was stopped at 81st day.

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