Key note Speaker at Global Conferences

Recently intensifying involvement on various webcast platforms to elaborate on Generative AI/Chat GPT, Metaverse (a $ 5 Tn market value by 2030 according to McKinsey & Company), Machine Learning and Deep Learning’s versatile applications. These have become ubiquitous in the design and adoption of daily personalized skincare and aesthetics treatment protocols and published on the connection between the gamification and tokenization phenomena.

It has led to the viral emergence of virtual reality ecosystem in which especially Millennial and GenZ patients can indulge emotionally and immersively, deepen and intensify their experiential journey by ever pushing back the frontiers of self-transcendence.

We dedicate a lot of attention to the M&A strategies implemented by Medical Aesthetics, Dermocosmetics Players, Clinics and to leverage this powerhouse platform to take advantage of the younger generations’ ever- increasing trend to prejuvenation, accelerate the early conversion of considerers into patients and their retention by fostering a higher degree of stickiness and enticing first pleasurable and playful experience. Patients can slowly merge into the personality and identify themselves with their avatars and synthetic images and endless video generation capabilities and interact with the doctors, their peers in order to educate themselves also on adjacent types of treatment to fine-tune and optimize the efficacy and performance of customized treatments.

We have carefully assessed with an ethical committee from European academia and with our Scientific Advisory how personalization will be enhanced by automated predictive models harnessing the power of powerful genomics, proteomics and transcriptomics databases, will enable to better anticipate customer’s receptivity to innovation (eg: French iPaam’s Predictive and anti-aging medicine platform with a complex algorithm and quantitative analytics applied to a full medical questionnaire).

He frequently publishes and delivers interviews on how disruptive tech game-changers connected with AI, Big Data, VR or connected devices, prosthetics, exoskeletons as well as robotics and 3D Bioprinting) will rewrite the code of aesthetics and push back the technological boundaries to the extreme limits, as well as eclipse established treatment models in a darwinistic move.

Since the COVID Pandemic, his reviews have emphasized the importance of deciphering the Key Factors of Success and Key Performance Indicators of the Next Generation skincare companies (Eric Schmidt, Alphabet executive chairman “will be crowd-sourced, AI- and ML-based and that model is a highly likely candidate to become a $100 billion corporation”). Google AI detects 26 skin conditions as accurately as dermatologists. Technology has the potential to relieve the mounting pressure on doctors by providing tools to more accurately diagnose diseases, choose the right treatments, and help patients better manage their condition”.

We have quantified the explosive engagement of liberated Medical Aesthetics and how it massively increased consumer stickiness and cracked the code of the repeat business to generate a sustainable loyalty franchise by engaging patients into an ecosystemic minimally invasive aesthetic powerhouse platform enticing patients into a captive and immersive experiential journey and retargeting them with adjacent products and procedure offerings to optimize their personalized anti-ageing treatment protocols.

We analyzed as well intensively how smartphone digital skincare “killer apps” intensify the relationship with the customers into a sustainable franchise by leveraging synergies with the personalized skincare IOT systems and follow-on subscriptions for adjacent products and services.

In order to anticipate future M&A needs to catalyze shifts of business model transformation, we analyzed how skincare companies pioneer tech-empowered tele-diagnostication platforms leveraging AI and digital imaging, machine learning and deep-learning, database capabilities to personalize the analysis of skin conditions and recommend protocols, taking advantage of augmented reality to enable the previsualization of treatment results, machine learning and deep learning to identify, quantify and evaluate the urgency of patients’ treatments.