A Japanese research team is developing a groundbreaking medication that may allow people to grow new teeth, with clinical trials set to begin in July 2024. The medication is intended for people who lack a full set of adult teeth due to congenital factors, and the team aims to have it ready for general use by 2030.
The medication has already shown promising results in animal experiments, where it prompted the growth of "third-generation" teeth. This could be a game-changer for the field of dentistry, as humans have the potential to grow a third set of teeth but usually lose this ability over time.
The medication works by blocking the action of a protein called USAG-1, which limits the growth of teeth. Once confirmed to have no ill effects on the human body, the medication will be aimed at treating children aged 2 to 6 who have anodontia.
Japanese researchers are making progress in developing a "tooth regrowth" medicine for people with congenital anodontia, a condition where they lack adult teeth.
The medicine has the potential to restore a full set of adult teeth and could revolutionize dental care by eliminating the need for dentures or dental implants.
The development of this medicine is a significant advancement in regenerative medicine and could have broader applications in the future.
The post discusses the challenges and pain points of working with JavaScript, specifically in relation to package.json files and various dependencies and tools.
It highlights the complexity and frustration that can arise from managing and upgrading packages, configuring tools like ESLint, and dealing with different testing frameworks.
The author emphasizes the difficulty and emotional toll of navigating the JavaScript ecosystem, but also acknowledges the resilience and survival of software engineers in spite of these challenges.
The article humorously highlights the pain points and complexity associated with JavaScript development, including the overwhelming number of tools, parsers, and dependencies.
The author expresses a desire for a simpler, non-configurable library or framework that can handle the majority of use cases.
Deno is mentioned as a potential alternative to Node.js, with debates and opinions about its advantages and disadvantages.
ML programs often focus on additive skill sets, but in reality, solving real-world problems requires knowing what not to try and understanding why certain approaches may not work.
Many companies do not teach the fundamentals of statistics, and practical implementation skills are often lacking. It is important to find mentors who have both theoretical rigor and practical skills to solve problems.
ML problems also require engineering skills, as certain techniques may not be scalable or suitable for large datasets. It is important to understand the limitations of different models and be able to mix them for debugging purposes.
The FUE5 project is an experimental project that visualizes the 2D world of the game Factorio in a 3D environment using Unreal Engine 5.
The project was created by 3D artist Hurricane and Factorio modder Nuke, and it allows users to import their Factorio bases into the Unreal Engine environment and explore them in 3D.
The project required the modeling and animation of each Factorio asset and the replication of key systems like belts, trains, and the logistic system. Optimization was necessary to ensure smooth performance.
Alt-F4 #65 is an article about a Factorio visualizer created in Unreal Engine 5.
The visualizer allows players to see their Factorio factories in 3D, providing a new perspective on their creations.
The article also includes discussions about different Factorio mods, gameplay tips, and comparisons to other similar games like Satisfactory and Dyson Sphere Program.