Publication Alert
Herein we discuss AI and machine learning in #andrology
• Challenges of heterogeneous clinical datasets and their interpretation
• Why early #AI models should be viewed as evolving frameworks rather than definitive clinical tools
https://t.co/zZ0Jj53ldd
It's time to remove laptops from classrooms.
24 experiments: Students learn more and get better grades after taking notes by hand than typing. It's not just because they're less distracted—writing enables deeper processing and more images.
The pen is mightier than the keyboard.
Shimon Sakaguchi – awarded this year’s medicine prize – was born in 1951.
He received his M.D. in 1976 from @KyotoU_News, Japan and a Ph.D. in 1983 from the same university. He is a distinguished professor at the Immunology Frontier Research Center in Osaka University, Japan.
https://t.co/4axNp9owqx
#NobelPrize
Why are our researchers tempted to easy publications? How do they fall prey to predatory journals? How they could be guided. Join us for one day seminar
❓ Quiz Time!
What does BioAI at BRIC-NIBMG focus on?
A) AI for crop irrigation systems
B) AI for designing lab equipment
C) AI for biological data analysis
D) AI for wildlife tracking
👉 Comment your answer below!
Answer out tomorrow!
#BioE3Pakhwada#BioAI #PrecisionBiotherapeutics #BRIC_NIBMG
@DBTIndia@BricDbt@DrJitendraSingh@rajesh_gokhale@DrSagarSengupta
Scientists at the Functional Genomics Lab, @THSTIFaridabad, have decoded the genome of Citrobacter portucalensis—a key wastewater bacterium that removes toxic metals like uranium and chromium! But there's a catch: it’s now acquiring antibiotic resistance genes, including those for carbapenem resistance.
#ODOG #genomics #AMR
@DrJitendraSingh@rajesh_gokhale
Is it time to speak bout a "sixth sense" arising in the gut?
Scientists have identified a "neurobiotic sense" that enables the host to adjust its behaviour in response to a molecular pattern from its resident microorganisms
@nature
https://t.co/Pg8DWlbQZ6
Very informative article by @vidhyasrajan ... the patent landscape appears encouraging. Will be good to know the fate of these patents, e.g., how many of them were licensed, or how many startups came up from these... etc.
How to build a good understanding of math for machine learning?
I get this question a lot, so I made a complete roadmap for you. Three fields make this up:
• Calculus
• Linear algebra
• Probability theory
Let's take a quick look at them: