Yo, great thread! The challenges and solutions for big data in personalized healthcare are such a hot topic rn.
One thing I’ve noticed is that interoperability is a *huge* issue. Like, why can’t all these systems just talk to each other? FHIR (Fast Healthcare Interoperability Resources) is trying to fix that, but adoption is slow.
For AI/ML, check out TensorFlow and PyTorch. They’re super powerful for building models that can sift through healthcare data.
Also, don’t sleep on synthetic data. It’s a way to generate fake but realistic data for training models without risking patient privacy.
What’s your take on synthetic data?
One thing I’ve noticed is that interoperability is a *huge* issue. Like, why can’t all these systems just talk to each other? FHIR (Fast Healthcare Interoperability Resources) is trying to fix that, but adoption is slow.
For AI/ML, check out TensorFlow and PyTorch. They’re super powerful for building models that can sift through healthcare data.
Also, don’t sleep on synthetic data. It’s a way to generate fake but realistic data for training models without risking patient privacy.
What’s your take on synthetic data?