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Hello DEV community ?
My name is Alireza Minagar, and I come from a rather unique background — as a neurologist, researcher, and now a software engineering student.
After years of diagnosing complex neurological conditions, I’ve begun exploring how artificial intelligence and software can revolutionize healthcare. Surprisingly, many skills from my medical background translate directly into programming.
Here are 5 lessons from neurology that shape how I now think about software engineering:
1. Diagnose Before You Prescribe
In medicine, we never treat a symptom without understanding its root cause. Debugging works the same way — don’t guess. Investigate.
2. Pattern Recognition is Power
Analyzing EEGs or MRIs is about spotting patterns. Writing efficient code or identifying logical bugs requires the same cognitive muscle.
3. Precision is Everything
Whether prescribing medication or defining logic in code, tiny errors can lead to serious consequences. Precision builds trust — in both healthcare and software.
4. Document Like a Clinician
Medical professionals live by notes. In code, comments, READMEs, and clear commit messages keep everything healthy and maintainable.
5. Ethics is Not Optional
In both medicine and tech, decisions have real consequences. Transparent, explainable algorithms are just as vital as informed consent.
I’m currently learning Python, full-stack engineering, and bioinformatics with the goal of contributing to healthcare-focused AI solutions.
Let’s build a world where medical insight and machine logic support — not replace — human care.
—
Alireza Minagar, MD, MBA, MS
LinkedIn:
Medium:
My name is Alireza Minagar, and I come from a rather unique background — as a neurologist, researcher, and now a software engineering student.
After years of diagnosing complex neurological conditions, I’ve begun exploring how artificial intelligence and software can revolutionize healthcare. Surprisingly, many skills from my medical background translate directly into programming.
Here are 5 lessons from neurology that shape how I now think about software engineering:
1. Diagnose Before You Prescribe
In medicine, we never treat a symptom without understanding its root cause. Debugging works the same way — don’t guess. Investigate.
2. Pattern Recognition is Power
Analyzing EEGs or MRIs is about spotting patterns. Writing efficient code or identifying logical bugs requires the same cognitive muscle.
3. Precision is Everything
Whether prescribing medication or defining logic in code, tiny errors can lead to serious consequences. Precision builds trust — in both healthcare and software.
4. Document Like a Clinician
Medical professionals live by notes. In code, comments, READMEs, and clear commit messages keep everything healthy and maintainable.
5. Ethics is Not Optional
In both medicine and tech, decisions have real consequences. Transparent, explainable algorithms are just as vital as informed consent.
I’m currently learning Python, full-stack engineering, and bioinformatics with the goal of contributing to healthcare-focused AI solutions.
Let’s build a world where medical insight and machine logic support — not replace — human care.
—
Alireza Minagar, MD, MBA, MS
LinkedIn:
Medium: