Secure, privacy-preserving and federated machine learning in medical imaging
The broad application of artificial intelligence techniques in medicine is currently hindered
by limited dataset availability for algorithm training and validation, due to the absence of …
by limited dataset availability for algorithm training and validation, due to the absence of …
Pharmacogenomics: driving personalized medicine
Personalized medicine tailors therapies, disease prevention, and health maintenance to the
individual, with pharmacogenomics serving as a key tool to improve outcomes and prevent …
individual, with pharmacogenomics serving as a key tool to improve outcomes and prevent …
Rethinking drug design in the artificial intelligence era
Artificial intelligence (AI) tools are increasingly being applied in drug discovery. While some
protagonists point to vast opportunities potentially offered by such tools, others remain …
protagonists point to vast opportunities potentially offered by such tools, others remain …
Sociotechnical safeguards for genomic data privacy
Recent developments in a variety of sectors, including health care, research and the direct-
to-consumer industry, have led to a dramatic increase in the amount of genomic data that …
to-consumer industry, have led to a dramatic increase in the amount of genomic data that …
A pragmatic introduction to secure multi-party computation
Secure multi-party computation (MPC) has evolved from a theoretical curiosity in the 1980s
to a tool for building real systems today. Over the past decade, MPC has been one of the …
to a tool for building real systems today. Over the past decade, MPC has been one of the …
Hitching healthcare to the chain: An introduction to blockchain technology in the healthcare sector
MA Engelhardt - Technology Innovation Management Review, 2017 - timreview.ca
Health services must balance patient care with information privacy, access, and
completeness. The massive scale of the healthcare industry also amplifies the importance of …
completeness. The massive scale of the healthcare industry also amplifies the importance of …
[HTML][HTML] Federated learning for computational pathology on gigapixel whole slide images
Deep Learning-based computational pathology algorithms have demonstrated profound
ability to excel in a wide array of tasks that range from characterization of well known …
ability to excel in a wide array of tasks that range from characterization of well known …
Sok: General purpose compilers for secure multi-party computation
Secure multi-party computation (MPC) allows a group of mutually distrustful parties to
compute a joint function on their inputs without revealing any information beyond the result …
compute a joint function on their inputs without revealing any information beyond the result …
Secure genome-wide association analysis using multiparty computation
Most sequenced genomes are currently stored in strict access-controlled repositories,,. Free
access to these data could improve the power of genome-wide association studies (GWAS) …
access to these data could improve the power of genome-wide association studies (GWAS) …
Multiparty homomorphic encryption from ring-learning-with-errors
We propose and evaluate a securemultiparty-computation (MPC) solution in the semihonest
model with dishonest majority that is based on multiparty homomorphic encryption (MHE) …
model with dishonest majority that is based on multiparty homomorphic encryption (MHE) …