Designing nanotheranostics with machine learning
The inherent limits of traditional diagnoses and therapies have driven the development and
application of emerging nanotechnologies for more effective and safer management of …
application of emerging nanotechnologies for more effective and safer management of …
[HTML][HTML] Artificial intelligence in healthcare: review and prediction case studies
Artificial intelligence (AI) has been develo** rapidly in recent years in terms of software
algorithms, hardware implementation, and applications in a vast number of areas. In this …
algorithms, hardware implementation, and applications in a vast number of areas. In this …
[HTML][HTML] Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset
Abstract COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than
651,247 people around world having lost their lives after contracting the disease. Currently …
651,247 people around world having lost their lives after contracting the disease. Currently …
Trustworthy ai: A computational perspective
In the past few decades, artificial intelligence (AI) technology has experienced swift
developments, changing everyone's daily life and profoundly altering the course of human …
developments, changing everyone's daily life and profoundly altering the course of human …
Intelligent model to predict early liver disease using machine learning technique
Liver Disease (LD) is the main cause of death worldwide, affecting a large number of
people. A variety of factors affect the liver, resulting in this disease. The diagnosis of this …
people. A variety of factors affect the liver, resulting in this disease. The diagnosis of this …
eD octor: machine learning and the future of medicine
Abstract Machine learning (ML) is a burgeoning field of medicine with huge resources being
applied to fuse computer science and statistics to medical problems. Proponents of ML extol …
applied to fuse computer science and statistics to medical problems. Proponents of ML extol …
Machine learning for metabolic engineering: A review
Abstract Machine learning provides researchers a unique opportunity to make metabolic
engineering more predictable. In this review, we offer an introduction to this discipline in …
engineering more predictable. In this review, we offer an introduction to this discipline in …
Ekiden: A platform for confidentiality-preserving, trustworthy, and performant smart contracts
Smart contracts are applications that execute on blockchains. Today they manage billions of
dollars in value and motivate visionary plans for pervasive blockchain deployment. While …
dollars in value and motivate visionary plans for pervasive blockchain deployment. While …
Peering into the black box of artificial intelligence: evaluation metrics of machine learning methods
OBJECTIVE. Machine learning (ML) and artificial intelligence (AI) are rapidly becoming the
most talked about and controversial topics in radiology and medicine. Over the past few …
most talked about and controversial topics in radiology and medicine. Over the past few …
Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease
Subjective cognitive decline (SCD) is regarded as the first clinical manifestation in the
Alzheimer's disease (AD) continuum. Investigating populations with SCD is important for …
Alzheimer's disease (AD) continuum. Investigating populations with SCD is important for …