Weekly writing on two things I keep coming back to: how AI is entering real medical care, and how evidence-based anabolics shape training, recovery, and the body.
Read the latest →Diagnostics, clinical workflow, radiology, triage, and the uncomfortable questions that come up when algorithms enter patient care.
AI & MedicineProtein, calories, creatine, hormones, sleep, and recovery, with a focus on what actually has evidence behind it.
AnabolicsTestosterone clearly affects muscle, but the gym version usually skips the medical risks and long-term tradeoffs.
AI can find risk patterns in scans, ECGs, and medical records, but prediction only helps if it leads to smarter prevention.
SARMs are sold online as cleaner muscle builders, but the safety, labeling, and hormone risks are the part people skip.
AI can help screen for cancer faster, but screening is where false positives, missed cancers, and anxiety all matter.
Protein timing matters less than total daily intake, but spreading protein still makes the plan easier to execute.
Chatbots can explain medical topics clearly, but confidence is dangerous when the answer is incomplete, outdated, or wrong.
Radiology is changing fast, but the likely future is supervision, faster workflows, and new responsibility rather than instant replacement.
Caffeine can improve performance, but dose, timing, sleep, and tolerance decide whether it actually helps.
Sleep affects hormones, training quality, appetite, and recovery, which makes it hard to separate from muscle growth.
GLP-1 drugs can drive major weight loss, but muscle retention depends on protein, resistance training, and medical follow-up.
Peptides like BPC-157 are marketed for injury recovery, but human evidence is thin and the risk side is under-discussed.
Some supplements have real support, but most products are better at selling certainty than building muscle.
Protein matters for building muscle, but the useful question is not whether it matters. It is how much, how often, and how consistent you can be.
Human growth hormone can change body composition, but the research is much less impressive when the question becomes strength, performance, and risk.
Emergency rooms are crowded, triage is hard, and AI promises faster risk prediction. The question is whether hospitals can use it without hiding judgment inside a black box.
Creatine is not flashy, but it is one of the few sports supplements with a deep research base behind it.
Instead of diagnosing disease, ambient AI listens to visits and drafts clinical notes. That sounds small, but it could change how doctors and patients talk.
Carbohydrates are not automatically good or bad. For training, they are mainly a question of timing, workload, and recovery.
A lean bulk is not about eating as much as possible. It is about giving the body enough surplus to grow without letting the plan turn sloppy.
Training starts the adaptation process, but recovery decides how much of that work the body can actually use.
Surgical robots are no longer science fiction. Here is how they actually work, and where the technology still falls short.
AlphaFold changed protein folding overnight. But turning a protein structure into a working drug is still an enormous challenge.
From continuous glucose monitors to sweat sensors, wearables are moving far beyond step counts.
Some hospitals are already deploying AI assistants for clinical notes and diagnoses. The risks are real but so is the upside.
The first CRISPR therapies are now FDA approved. That is a big deal. Here is what actually changed and what has not.
Pathologists analyze tissue samples for hours. AI models are now doing it in seconds and sometimes catching what humans miss.
A new generation of implants can monitor your heart, brain, or spine in real time and send that data straight to your doctor.
MRI scans that take minutes instead of hours. CT scanners that use a fraction of the radiation. The imaging revolution is already here.
Voice biomarkers, speech patterns, and passive monitoring. Researchers are finding ways to detect mental illness before symptoms are obvious.
A rising junior at Loyola High School in Los Angeles, writing for the school paper and trying to understand the research behind medicine, training, nutrition, and the body without making it sound more certain than it is.