This Fern vs Lung Cancer

 


Explore the surprising connection between ferns and lung cancer research. This video delves into how plant-derived compounds from ferns are studied for their potential anti-cancer properties, molecular mechanisms, and emerging role in innovative therapeutic strategies.

#lungcancer #cancerresearch #phytochemistry #medicinalplants #fernresearch #naturalcompounds #drugdiscovery #biomedicalresearch #molecularbiology #oncology #lifescience #plantbasedmedicine 🌿🧬 Computational Biologists Awards Visit our page : https://computationalbiologists.com/ Nominations page : https://computationalbiologists.com/award-nomination/?ecategory=Awards&rcategory=Awardee -----------------------Other socialmedia------------------------- Instagram : https://www.instagram.com/_awardresearcher_02/ Blogger : https://www.blogger.com/blog/posts/859633461166750462 Twitter : https://x.com/AwardResearcher Facebook : https://www.facebook.com/profile.php?id=61573772493321

Comments

Post a Comment

Popular posts from this blog

 🔬 RNA Processing Genes: Colon Cancer Breakthrough! #ColonCancer #RNAProcessing #CancerResearch #Genomics Don't forget to like and share this video Visit our page : computationalbiologists.com Nominations page : https://computationalbiologists.com/award-nomination/?ecategory=Awards&rcategory=Awardee Follow us on: Instagram : https://www.instagram.com/_awardresearcher_02/ Blogger : https://www.blogger.com/blog/posts/859633461166750462 Twitter : https://x.com/AwardResearcher Facebook : https://www.facebook.com/profile.php?id=61573772493321 Tumblr : https://www.tumblr.com/computationalbiologistsawards?source=share Pintrest : https://in.pinterest.com/awardresearcher/_profile/ Youtube : https://www.youtube.com/@ResearcherAward
Read more

A targeted approach to using AI in drug discovery

Image
  How are we improving the way the field of drug discovery creates machine learning algorithms to predict a protein’s interactions with a small molecule? The drug development pipeline is a costly and lengthy process. Identifying high-quality ‘hit’ compounds – those with high potency, selectivity and favorable metabolic properties – at the earliest stages is important for reducing cost and accelerating the path to clinical trials. For the last decade, scientists have looked to machine learning to make this initial screening process more efficient. Computer-aided drug design is used to computationally screen for compounds that interact with a target protein. However, the ability to accurately and rapidly estimate the strength of these interactions remains a challenge. “Machine learning (ML) promised to bridge the gap between the accuracy of gold-standard, physics-based computational methods and the speed of simpler empirical scoring functions,” commented Benjamin P. Brown, an assista...
Read more
  🚀 Detecting Go Code Flaws with AI! #GoLang #AIinProgramming #CodeAnalysis Don't forget to like and share this video Visit our page : computationalbiologists.com Nominations page : https://computationalbiologists.com/award-nomination/?ecategory=Awards&rcategory=Awardee Follow us on: Instagram : https://www.instagram.com/_awardresearcher_02/ Blogger : https://www.blogger.com/blog/posts/859633461166750462 Twitter : https://x.com/AwardResearcher Facebook : https://www.facebook.com/profile.php?id=61573772493321 Tumblr : https://www.tumblr.com/computationalbiologistsawards?source=share Pintrest : https://in.pinterest.com/awardresearcher/_profile/ Youtube : https://www.youtube.com/@ResearcherAward
Read more