Temporal face feature progression with cycle GAN

The aging process creates significant changes in the appearances of people’s faces. When compared to other causes of variation in face imaging, aging-related variation has specific distinct properties. Facial Aging variations, for example, is unique for each person; it occurs gradually and is significantly influenced by other characteristics including health, gender, and life-style. As a result, the proposed effort will use Generative Adversarial Networks to address these critical concerns (GANs). Generative Adversarial Networks (GAN’s) is made up of a generator and a discriminator network. The generator model generates images that a discriminator model analyses to determine if they are real or fake. This paper provides a Temporal Face Feature Progressive framework with Cycle GAN, which maintains the initial appearance and identity in the elderly aspect of their facial structure. To address aging concerns, our goal is to transform an initial age category image into a targeted age with age progression. We show that our temporal face features progressive cycle GAN learns and transfers facial traits from the source group to the targeted group by training various images. The IMDB-WIKI Face dataset has been used to obtain the results for the same.

Drug Injections to Reduce Facial Fat

Facial aging involves not only the loss of volume, but also the ptosis of the fat compartments, leading to the emergence of deep folds and generating heterogeneous creases and depressions. Thus, this study aims to evaluate the drug injections of active principles in the subcutaneous tissue to reduce the puffiness in the jowl and nasolabial areas, and also the accumulation of fat in the submental area (“double chin”). Therefore, we describe the use of lipolytic and antioxidant substances to reduce facial fat in four patients who were very satisfied with the result of the treatment. Consequently, we conclude that the drug injections of active principles are a practical method with fast and promising results in the treatment of facial fat.

Split Face Comparative Study of Plasma Gel versus Non Cross Linked Hyaluronic Acid for Treatment of Static Forehead Wrinkles

Background The entire human body is subject to changes associated with aging. Those occurring in the skin are visible, facial aging can be particularly negative since it represents the main image. Among the factors playing an important role in facial aging are exposure to ultraviolet (UV) light, smoking habits and alcohol consumption, which, together with genetic factors, can alter the rate of skin aging. Objectives The presented study aimed to compare the efficacy of the plasma filler and the non-cross linked hyaluronic acid in treating static forehead wrinkles. Patients and Methods The present study is a prospective study which included 20 adult male and female with different grades of static forhead wrinkles. Our participants range between 40 to 55 years old. This study was done in a period of 6 months starting from February 2019 to September 2019. All participant signed informed consent after explaining to them the objective of the study. An official research approval was granted from research ethical committee, faculty of medicine in Ain Shams University and fulfilled all the ethical aspects required in human research. Results So the plasma gel is as safe and efficient as non cross linked hyaluronic acid in treating static forehead wrinkles as there is no significant difference between the right and left forehead after treatment. Conclusion Plasma gel is as safe and effective as non cross-linked HA, plasma gel is cheap, available, easy promising tool to treat wrinkles.

Genetic and Epigenetic Aspects of Skin Collagen Fiber Turnover and Functioning

One of the most important functions of the skin, i.e., protection from mechanical damage, is ensured by collagen fibers and their interaction with other elements in the extracellular matrix. Collagen fiber turnover is a complex multi-stage process. At each stage, a disruption may occur, leading to a decrease in the mechanical properties of the connective tissue. Clinically, collagen formation disorders manifest themselves as increased flabbiness and looseness of the skin and as early signs of facial aging. In addition to the clinical picture, it is important for cosmetologists and dermatologists to understand the etiology and pathogenesis of collagenopathies. In our review, we summarized and systematized the available information concerning the role of genetic and epigenetic factors in skin collagen fiber turnover. Furthermore, we focused on the functions of different types of collagens present in the skin. Understanding the etiology of impaired collagen formation can allow doctors to prescribe pathogenetically based treatments, achieve the most effective results, and minimize adverse reactions.