Mohamed AKIL Emeritus Professor LIGM Laboratory (UMR CNRS 8049) Gustave Eiffel University, ESIEE Paris
Mohamed AKIL
Emeritus Professor
LIGM Laboratory (UMR CNRS 8049)
Gustave Eiffel University, ESIEE Paris
Professor in the Robotics and Autonomous Systems group of the Computer and Systems Engineering Unit (U2IS), ENSTA Paris.
Professor of Computer Science at ENSTA Paris and Researcher in Computer Vision within the Autononous Systems and Robotics Laboratory.
Ahmed LAKHSSASSI PhD. Ing, IEEE membre Senior. Membre du Conseil des gouverneurs de l'UQO Directeur du département d’informatique et d’ingénierie Professeur titulaire génie électronique Memb.Regroupement Statégique Microsystèmes Québec
Title : Improving human health: Challenges and Methodology for controlling thermal doses during Cancer therapeutic treatment
Abstract : Controlled thermal ablation in order to maximize the therapy and minimize the side effects poses a challenge during the heating of the biological tissue. Traditionally, these processes are modelled by the bio heat equation introduced by Pennes, who used the Fourier’s theory of heat conduction. During my talk I will present our automated thermal dose control and prediction system for cancer tumors therapy by using Implantable Bio-chip solution. The proposed system is able to control thermal ablation doses deposition during a laser surgery/cancer treatment. A system would help physicians to predict thermal diffusion to organize the treatment as well as maximize therapeutic effects while minimizing side effects. A case study of the Laser Interstitial Thermal Therapy (LITT) will demonstrate his feasibility as Cancer therapeutic treatment. Furthermore, our Dosimetry Framework of the Bio-heat Transfer for Laser/Cancer Treatment will be introduced. This would provide a precise idea of the predicted reaction depending on selected doses, tissue geometry, and the laser source prior to the treatment; so new treatment strategies can be proposed and evaluated.
President of the Moroccan Society of Robotic Surgery
Professor, Specialist in Fixed Prosthodontics, Occlusodontics, and Digital Dentistry Hassan II University / Faculty of Dental Medicine, Casablanca
Prosthetic Dentistry 4.0: Digital Engineering Driving the Dental Revolution
The digital transformation of prosthetic dentistry represents a concrete application of digital engineering in modern dental medicine. This conference offers an in-depth exploration of the technological ecosystem that is redefining clinical standards in dental prosthetics.
The process begins with data acquisition through intraoral scanners, complemented by 3D facial scanners and cone beam computed tomography (CBCT), enabling a comprehensive three-dimensional modeling of the oral and facial anatomy. These multimodal data are integrated and processed using prosthetic and implant planning software, incorporating simulation engines, prosthetic axis calculations, dynamic occlusion analysis, and biomimetic visualization algorithms.
The manufacturing phase relies on additive manufacturing (3D printing) and subtractive manufacturing (CNC milling) technologies, ensuring high dimensional accuracy and reproducibility of restorations. The integration of this digital workflow guarantees micrometric precision, minimizes human error margins, and enhances the predictability of clinical outcomes, fully aligning with the principles of personalized medicine.
In summary, Prosthetic Dentistry 4.0 stands as a prime example of the convergence between digital engineering, functional design, and biomedical requirements.
Professor,
Specialist in Fixed Prosthodontics, Occlusodontics, and Digital Dentistry
Hassan II University / Faculty of Dental Medicine, Casablanca
Email: [email protected]
