chore: update all blog posts

src/content/blog/ai-in-healthcare-diagnosing-diseases-with-machine-learning/index.mdx

@@ -18,9 +18,9 @@ updatedDate: 2025-05-02
 
 # How AI and Machine Learning Are Revolutionizing Disease Diagnosis in Healthcare  
 
-AI in healthcare is transforming how diseases are diagnosed, offering faster, more accurate, and scalable solutions. Machine learning (ML) algorithms analyze medical data—from radiology scans to genetic profiles—to detect conditions like cancer, heart disease, and neurological disorders earlier than traditional methods. This post explores how AI-powered diagnostics work, their real-world applications, and the challenges shaping their future.  
+AI in healthcare is transforming how diseases are diagnosed, offering faster, more accurate, and scalable solutions. Machine learning (ML) algorithms analyze medical data from radiology scans to genetic profiles to detect conditions like cancer, heart disease, and neurological disorders earlier than traditional methods. This post explores how AI-powered diagnostics work, their real-world applications, and the challenges shaping their future.  
 
-> *"AI will not replace doctors, but doctors who use AI will replace those who don’t."* — Dr. Curtis Langlotz, Stanford University  
+> *"AI will not replace doctors, but doctors who use AI will replace those who don't."*   Dr. Curtis Langlotz, Stanford University  
 
 ## How Machine Learning Improves Disease Detection  
 
@@ -31,7 +31,7 @@ Machine learning models train on vast datasets, including medical images, electr
 - **Radiology:** Detects tumors, fractures, and anomalies in X-rays, MRIs, and CT scans.  
 - **Pathology:** Identifies cancerous cells in tissue samples with high accuracy.  
 - **Cardiology:** Predicts heart disease risk by analyzing ECGs and patient history.  
-- **Neurology:** Flags early signs of Alzheimer’s and Parkinson’s through symptom patterns.  
+- **Neurology:** Flags early signs of Alzheimer's and Parkinson's through symptom patterns.  
 
 ## 5 Key Benefits of AI-Driven Diagnostics  
 
@@ -67,6 +67,6 @@ While promising, AI in healthcare faces hurdles:
 - **Predictive Outbreak Alerts:** Analyze global data to forecast disease spread.  
 - **Wearable Integration:** Sync with smart devices for real-time health monitoring and alerts.  
 
-> *"The greatest opportunity offered by AI is not reducing errors or workloads, but exponentially expanding human potential."* — Eric Topol, Cardiologist and Digital Health Expert  
+> *"The greatest opportunity offered by AI is not reducing errors or workloads, but exponentially expanding human potential."*   Eric Topol, Cardiologist and Digital Health Expert  
 
 #AI #HealthcareInnovation #MachineLearning #MedicalAI #FutureOfMedicine