Becoming Human

MARCH 16, 2023

Since the advent of deep learning in the 2000s, AI applications in healthcare have expanded. Machine Learning Machine learning (ML) focuses on training computer algorithms to learn from data and improve their performance, without being explicitly programmed.

AI 139

AI AI Deep Learning Deep Learning 139

AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 92

AWS Analytics Analytics Machine Learning 92

AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 87

AWS Analytics Analytics Machine Learning 87

Heartbeat

DECEMBER 7, 2023

In this case, the formation of data silos is prevented, and we provide the most efficient and fast use of decentralized, federated, and simultaneous interoperability with data mesh. This approach is very similar to the microservice architecture in software. How does it? Let’s continue by understanding the four basic principles.

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

phData

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords these days with developments of Chat-GPT, Bard, and Bing AI, among others. The use of deep learning and machine learning in healthcare is also increasing.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

DrivenData Labs

MARCH 30, 2023

His interests are in privacy-preserving machine learning, particularly in the areas of differential privacy, ML security, and federated learning. Shengyuan is a PhD student at Carnegie Mellon University working with Virginia Smith with expertise in federated learning and differential privacy.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

AWS Machine Learning Blog

MARCH 15, 2024

Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. However, the datasets needed to build the ML models and give reliable results are sitting in silos across different healthcare systems and organizations.

AWS 124

AWS ML ML Data Silos 124