Nigerian Computational Medicine Hub (NCMH)

An emerging organization sitting at the center of code, industry, and care. #Bioinformatics #CADD #ComputationalBiology #Chemoinformatics #SystemsBiology.

[Nigerian Computational Medicine Hub (NCMH) @NCMedHub]

NCMH is recruiting for two volunteer roles:
Public Relations Officer (PRO) and Graphics Designer.
Here is the link to apply if you are interested:
https://t.co/Frq3oEC9FT

[Karo the computational biologist @sentinelprince]

I am extending a heartfelt apology to everyone about the break in communication with the 30 days of Computational Medicine.
The google acct had some issues. But it has now been cleared and the account will be properly managed.
We will pick up from where we stopped.

[Nigerian Computational Medicine Hub (NCMH) @NCMedHub]

In coming days, we will talk about other branches of computational medicine before going in-depth for each of them.
Keep notifications on and stay tuned.
#soDaysOfComputationalMedicine

[Nigerian Computational Medicine Hub (NCMH) @NCMedHub]

Day 2 of 30 Days of Computational Medicine 🧬💻
Bioinformatics is a branch of Comp Medicine, and is the application of computational tools, statistics, and algorithms to store, analyze, and interpret biological data, especially large-scale datasets like DNA, RNA,

[Nigerian Computational Medicine Hub (NCMH) @NCMedHub]

Applications:

Understanding diseases (like cancer or sickle cell disease)
Drug discovery and precision medicine
Pathogen tracking and outbreak analysis
Evolutionary studies

[Nigerian Computational Medicine Hub (NCMH) @NCMedHub]

Over the next 30 days, we’ll break down each of these branches in detail—tools, concepts, and real-world applications. Stay tuned 🚀

#30daysOfComputationalMedicine

[Nigerian Computational Medicine Hub (NCMH) @NCMedHub]

Day 1 of 30 Days of Computational Medicine 🧬💻
Computational Medicine blends data, biology, and algorithms to improve healthcare. Branches include:
Bioinformatics → analyzing genomic & molecular data
CADD (Computer-Aided Drug Design) → in silico drug discovery & optimization

[Nigerian Computational Medicine Hub (NCMH) @NCMedHub]

Medical Imaging Analysis → AI-driven interpretation of X-rays, MRIs, CT scans
Epidemiological Modeling → predicting and controlling disease spread
Machine Learning in Healthcare → predictive models for diagnosis, prognosis, and treatment