We're gonna extinct ... • 6m
“Think in Systems, Not Symptoms” 1. The Problem With Symptom-Based Thinking Traditional medicine often works like this: Symptom → Diagnosis → Drug If tired: Rule out anaemia, hypothyroid, depression. If bloated: Rule out IBS, lactose intolerance, GERD. Issue: It treats each symptom as isolated, not as part of a larger pattern or network. 2. What “Systems Thinking” Means Systems thinking looks at the body as an interconnected web, not just a sum of parts. It asks: What is the network behind these symptoms? How do organs, hormones, nerves, immunity, and behaviours interact? Is this one root issue showing up in many ways? 3. Medical Examples Case A: Patient reports: fatigue + sugar cravings + poor sleep Symptom-based approach: Fatigue? Order CBC, TSH. Sleep? Prescribe melatonin. Cravings? Diet advice. Systems approach: Possible early metabolic inflexibility Link between HPA axis dysfunction, insulin resistance, cortisol, and sleep architecture Intervention: Stabilize glucose, restore circadian rhythm, modulate stress response. Case B: Young woman: irregular periods + acne + anxiety + GI issues Symptom-based: Refer to gynae, psych, dermatologist, gastro. Systems approach: Common thread = PCOS with underlying inflammation + microbiome dysfunction Affects: skin, mood, gut, cycles. Treat from the root — reduce inflammation, balance hormones via gut and insulin axis. 4. Where AI Enhances Systems Thinking AI can: Spot non-obvious patterns across systems. Cluster patients by shared underlying drivers, not just diagnosis. Track multidimensional data: sleep, CGM, HRV, mood, symptoms. It helps doctors ask: What’s the system out of balance here — not just what’s the name of the disease? 5. Why This Matters for the Future of Medicine Chronic diseases (diabetes, PCOS, depression, fatigue syndromes) are systemic, not linear. We’re moving from disease treatment → health restoration. Precision care = seeing the unique system imbalance in each patient. Key Takeaway: Don't chase symptoms. Trace the system. Diagnose dysfunction, not just disease.

Be Inspired Be Deter... • 11m
I am glad to share my other idea on Helthcare in which platform any user can identify a disease or condition based on a patient's signs, symptoms, medical history, and often through tests or imaging and provide medicine advice. which may helpfull for
See MoreFounder & CEO of Gom... • 11m
Allopathic vs. Ayurvedic Medicine Allopathic and Ayurvedic medicines offer different approaches to health and healing. Allopathy: It primarily focuses on symptom management and uses drugs or surgery to provide quick relief. This approach often targ
See MoreFounder of withy • 10m
Pollution can significantly impact human life by causing a range of health issues including respiratory diseases like asthma, lung cancer, heart disease, and even impacting cognitive function, mental health, and premature death, primarily due to the
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Gen AI, Cybersecurit... • 1y
The AI Legends #75 Days Day 35: Hiroaki Kitano Hiroaki Kitano is a renowned scientist, known for his work at the intersection of artificial intelligence, systems biology, and robotics. History: Hiroaki Kitano was born on November 16, 1961, in Tokyo,
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A JV between Apollo ... • 3m
Global Standards, Local Expertise: The Reach of Expert Neuro Rehabilitation Key Takeaways: Neurological conditions affect millions globally, creating a universal need for specialized rehabilitation. Expert neuro rehabilitation centers adhere to high
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Codestam Technologies • 5m
Your MVP isn’t minimum viable. It’s barely breathing. Here’s how to know: You manually check if cron jobs ran. You panic every time Stripe sends a webhook. You copy-paste user data from Airtable to Notion. Your “error handling” is: refresh and p
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