Soumitra Das, National Sales Head, Kosmoderma Skin Hair Body Clinics

Mr.Soumitra Das is a university rank holder in Masters in Pharmacology. He secured 1st position in the International Conference of Recent Advances in Pharmaceutical Sciences: Transferring Knowledge. He handled strategic accounts in some of the globally recognized companies like Allergen, Pfizer, and Glaxo SmithKline.

 

With little doubt, the dermatology industry always responds earliest and quickly adopts the latest technology to serve their ever-growing client requirements with the very best. In these past two years, many cosmetic and aesthetic treatments gained tremendous demand. Laser hair removal, dermal fillers, and coolsculpting are some of them. Aesthetic clinics are now tangibly competing to bring the latest innovation as soon as possible to clients before their competitors get there.

“Till recently, aesthetic industry in India looks out for successful procedures in the USA or Europe. Then bring it here for Indian clients. Today, the trend is changing, and clinics are looking out for the latest technology instead. And is keen to implement those innovations at first in India before it gains popularity abroad”, Soumitra Das, National Sales Head at Kosmoderma Skin, Hair & Body Clinics said.

Artificial Intelligence Mediated Laser Hair Removal 

Laser Hair Removal, abbreviated LHR, is a non-invasive procedure to remove unwanted hair permanently. LHR selectively targets the hair follicles in the selected and destroys them, disabling hair regrowth.

 “The advent of AI would soon make the LHR procedure dearer and cost-effective for clinical service providers and clients”, Soumitra Das said. 

With AI and deep learning research, recently developed advanced automatic target recognition (ATR) algorithms scout for hair follicles in digital skin images to accurately direct laser beams for hair removal. The ATR system segregates hair, moles, and lesions in the selected skin area to deliver accurate coordinates of the hair follicle locations. The key advantages cover:

A higher degree of accuracy and large safety margin – the autonomous system leverages a small focal point, ensuring no damages are caused to the hair follicle’s surrounding tissue. 

Eliminate potential human errors – the deployment of deep learning enables the comparison of the generated digital image with a million similar images in related databases. Dermatologists could make informed decisions and better diagnosis for LHR in time foreseeable. 

Reduce potential risks and side effects – The side effects of LHR are minimal. Yet, with the level of precision AI offers, the procedure nearly hits the bar for being riskless with zero side effects. 

Simplifying LHR for doctors – With AI-powered robotic precision, doctors can focus more on the treatment section rather than mulling over time-consuming technical preparations.  

3D technology linked with supercooling triple wavelength LHR machine

Advanced 3D technology would be more cost-effective and assure better results in less time. The single-wavelength laser treatments were merely an introduction to the undiscovered possibilities in laser hair removal. Triple wavelength LHR machines leverage trio clustered diode technology. 

Soumitra Das said: “The idea is simple – three is better than one, combining three different wavelengths of lasers into one device. Efficient absorption, deeper penetration levels, and extended coverage area – the results are incredible.” 

Growth of teledermatology and EMR

EMRs change the face of remote dermatology consultations significantly. Dermatologists can access the consultation history of patients from their home or clinic, anywhere worldwide. EMR apps boosted connectivity and interoperability, enabling service providers to store and leverage client data. What you would see more in the time foreseeable is the rapid migration and adoption of Cloud-based EMRs. “ As a ball-park estimate, 40 percent of EMR systems in the USA are already operating in their cloud-based EMRs,” Soumitra Das said.  

Teledermatology is abridging the gap in the services for the underserved – considering clients from remote areas in the nation with little or no access to dermatologists. “For several reasons and pandemic just one of them, 4 out of 5 patients today in India today prefer teledermatology services to avoid face-to-face consultation and banal waiting hours preceding it. Facilities to save the consultation session and watch it later and many other factors also make online services dearer to patients. 

Emsculpt – trending non-invasive muscle toning procedure.  

Since the introduction, Emsculpt, the US FDA-cleared non-invasive body contouring treatment, is a most sought out alternative for clients looking to gain a toned body. Emsculpt leverages High-intensity Focused Electromagnetic (HIFEM) energy that makes muscles do the so-called supramaximal contractions. Just 30 minutes of Emsculpt is equivalent to 20,000 crunches or sit-ups, reports say. The procedure eliminates fat, toning muscles in the selected area simultaneously. 

MRBL: Molecular Skin Rejuvenation- the next-generation gene therapy 

A comprehensive, integrated solution to treat monogenic and polygenic skin diseases and even aging. Experts developed a new computational target discovery platform with improved cell-specific gene delivery vehicles to facilitate local delivery of genetic payloads to the targeted areas of the skin. 

“What was existing was a palliative approach that merely deals with the symptoms of such rare monogenic diseases. The revolutionary discovery is promising as it facilitates the delivery of targeted therapeutics to specific areas and directly interferes with the pathology of monogenic skin areas, ” Soumitra Das said. 

The genes affected in monogenic skin conditions are also powerful determinants of the aging process. “Stress factors induced gene modifications and telomere length controlling is also trending in this gene therapy program. Experts in the related research field are also looking forward to de-risk MRBL as a safe and effective end product”, Soumitra Das added. 

 

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