What If Aging and Vision Loss Could Be Reversed? Rewinding the Cellular Clock

Reprogramming to recover youthful epigenetic information and restore vision  Yuancheng Lu, Benedikt Brommer, Xiao Tian, Anitha Krishnan, Margarita Meer, Chen Wang, Daniel L. Vera, Qiurui Zeng, Doudou Yu, Michael S. Bonkowski, Jae-Hyun Yang, Songlin Zhou, Emma M. Hoffmann, Margarete M. Karg, Michael B. Schultz, Alice E. Kane, Noah Davidsohn, Ekaterina Korobkina, Karolina Chwalek, Luis A.Continue reading "What If Aging and Vision Loss Could Be Reversed? Rewinding the Cellular Clock"

Computers Help Scientists Complete the Molecular Puzzle

 In Silico discovery of GES-5 inhibitors via molecular docking, molecular dynamics simulation studies, and ADMET predictionGhatesse, M., Charoute, H., Raoufi, A., Tabouktirt, Y., Irahal, I. N., Hmimid, F., Kabine, M., Bourhim, N., & Zouheir, Y.  How proteins and molecules interact is like a giant puzzle that many scientists are trying to solve. So far, scientistsContinue reading "Computers Help Scientists Complete the Molecular Puzzle"

What’s Powering the Powerhouse? Machine Learning Meets Mitochondria

Deep Analysis of Mitochondria and Cell Health Using Machine Learning Atena Zahedi 1,3, Vincent On 2, Rattapol Phandthong 3, Angela Chaili 3, Guadalupe Remark 3, Bir Bhanu 1,2,4, Prue Talbot 1,3,✉ Mitochondria are often called the “powerhouse of the cell”, but in reality, they are much more than tiny batteries. These dynamic structures produce ATP - the energetic currency of the cell, respond to stress and can influenceContinue reading "What’s Powering the Powerhouse? Machine Learning Meets Mitochondria"

AI Is A Tool, Not A Craftsman

Letter From the Editor Is it real or is it cake? We live in a time where machines can imitate human intelligence with increasing precision, making it reasonable to mistake imitation for reality. This rapid advancement has led many to wonder whether human workers are on the verge of being replaced—whether writers, artists, and evenContinue reading "AI Is A Tool, Not A Craftsman"

One Step Ahead: Predicting Bacteria’s Next Move In the Arm’s Race.

A Bacterial Immunity Machine Learning System Peter C. DeWeirdt, Emily M. Mahoney, Michael T. Laub Bacteria, like humans, can get sick. Bacteriophages, viruses that specifically target bacteria, infect a variety of bacterial species. After many years of fighting viral infections, the bacteria evolved ways to fight back by making their own defense systems. Over theContinue reading "One Step Ahead: Predicting Bacteria’s Next Move In the Arm’s Race."

Planning to start tanning? Read this first.

Sunscreens and Photoprotection Sarah Gabros; Preeti Patel; Patrick M. Zito  In this digital age with all the sunscreen marketing, it's fairly easy to be influenced on which sunscreen you should buy. However, in this review, they show indeed that not all sunscreens are made equal. Everyone knows that going without sunscreen might mean sunburns, andContinue reading "Planning to start tanning? Read this first."

Radziszewski Amidation: Chemistry’s Hidden Light Show

Panzarasa, G. Just Add Luminol to Turn the Spotlight on Radziszewski Amidation. ACS Omega 2018, 3 (10), 13179–13182. Imagine a chemical reaction that not only helps synthesize medicines but can also glow in the dark. That is the Radziszewski amidation, a century-old reaction, gaining attention for its sustainability and its unique light producing properties. TheContinue reading "Radziszewski Amidation: Chemistry’s Hidden Light Show"

Beyond the Barrel: Can Coconut Oil Replace Petroleum-Based Chemicals?

 Eco-Efficient Hydrolysis of Coconut Oil: A Continuous Hydrothermal and Water-Only Process for the Production of Oleochemicals. Green Chem. 2026. Menalla, E.; Martin, D.; Vaquerizo, L.; Tester, J. W.; Cocero, M. J.; Cantero, D. From energy generation to manufacturing, petroleum is essential for many aspects of modern living. Unfortunately, petroleum is non-renewable (there is only soContinue reading "Beyond the Barrel: Can Coconut Oil Replace Petroleum-Based Chemicals?"

Scientists Create Algorithm that Learns To Identify Patterns in Cells

Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy Théo Moutakanni,Camille Couprie,Seungeun Yi,Michael Doron,Zitong S. Chen,Nikita Moshkov,Elouan Gardes,Mathilde Caron,Hugo Touvron,Armand Joulin,Piotr Bojanowski,Wolfgang M. Pernice,Juan C. Caicedo Microscopy is a powerful way to study what’s happening inside cells, but researchers often collect hundreds or thousands of images. This large volume of data makes it incredibly difficult toContinue reading "Scientists Create Algorithm that Learns To Identify Patterns in Cells"