What’s Holding Back Machine Learning in Healthcare

What is holding back the large scale implementation of machine learning systems in healthcare and precision medicine? In this article Dr. Amit Ray, explains the key obstacles and challenges of  implementing large-scale machine learning systems in healthcare.   Dr. Ray argued that lack of deeper integration, incomplete understanding of the underlying molecular processes of disease it is intended to treat may limit the progress of implementing large-scale machine learning based reliable systems in

Read more

Roadmap for 1000 Qubits Fault-tolerant Quantum Computers

How many qubits are needed to out-perform conventional computers, how to protect a quantum computer from the effects of decoherence and how to design more than 1000 qubits fault-tolerant large scale quantum computers, these are the three basic questions we want to deal in this article.  Qubit technologies, qubit quality, qubit count, qubit connectivity and qubit architectures are the five key areas of quantum computing are discussed. Earlier we have

Read more

Quantum Computing with Many World Interpretation Scopes and Challenges

Quantum Computing with Many World Interpretation Scopes and Challenges Many scientist believe that Many World Interpretation (MWI) of quantum mechanics is self-evidently absurd for quantum computing. However, recently, there are many groups of scientist increasingly believing that MWI has the real future in quantum computing, because MWI can provide true quantum parallelism.  Here, I briefly discuss the scopes and challenges of MWI for future quantum computing for exploration into the

Read more

Deep Learning Past Present and Future – A Systematic Review

Deep Learning Past Present and Future – A Review Deep learning is making a big impact in many areas of human life for solving complex problems. Deep learning models share various properties and the learning dynamics of neurons in human brain. Deep learning is an umbrella term. It covers many areas of artificial intelligence. In our Compassionate AI Lab, deep learning is now used in medical health care, radiology analysis, old age

Read more

7 Limitations of Molecular Docking & Computer Aided Drug Design and Discovery

7 Limitations of Molecular Docking & Computer Aided Drug Design and Discovery Over the past decades, molecular docking has become an important element for drug design and discovery.  Many novel computational drug design methods were developed to aid researchers in discovering promising drug candidates. In the recent years, with the rapid development of faster architectures of  Graphics Processing Unit (GPU)-based clusters and better machine algorithms for high-level computations, much progress has been

Read more

Artificial Intelligence for Balance Control and Fall Detection of Elderly People

Artificial Intelligence for Balance Control of Elderly People Designing automated balance control system for elderly people is one of the key project  of our Compassionate AI Lab. Here, Dr. Amit Ray discuses about one of the recent project of AI using deep learning algorithms for automatic balance control of elderly people. He explains how machine learning algorithms can be used to study and improve the dynamical properties of postural stability of

Read more

Quantum Computing Algorithms for Artificial Intelligence

Quantum Computing Algorithms for Artificial Intelligence Dr. Amit Ray explains the quantum annealing, Quantum Monte Carlo Tree Search, Quantum algorithms for traveling salesman problems, and Quantum algorithms  for gradient descent problems in depth. This tutorial is for the researchers, developers, students and the volunteers of the quantum computing team of the  Sri Amit Ray Compassionate AI Lab. Many of our researchers and students asked me to explain the quantum computing algorithms in a very

Read more

Artificial Intelligence to Combat Antibiotic Resistant Bacteria

Antibiotic resistance bacteria is becoming world’s biggest health crisis. Dr. Amit Ray explains how artificial intelligence can be used in combating antibiotic resistant bacteria. A multi-agent deep reinforcement learning models for predicting behavior of bacteria and phages in multi-drug environments are discussed.

Read more

Artificial Intelligence and Blockchain for Precision Medicine

Here, we discussed the scopes and implementation issues of artificial intelligence and blockchain for precision medicine. Evidence-based medicine is gradually shifting from therapy to prevention and towards individually tailored precision medicine systems. Where, artificial intelligence can be used to automatically detect problems and threats to patient safety, such as patterns of sub-optimal care or outbreaks of hospital-acquired illness. Artificial intelligence can be used to prevent the issues like drug-interaction, over-diagnosis, over-treatment and under-treatment. It can be used more effectively to solve the problems of antibiotic resistant bacteria.

Read more

Artificial Intelligence in Precision Medicine

Artificial Intelligence in Precision Medicine Artificial intelligence in precision medicine is a revolutionary new approach advancing health and wellness, knowledge, and health care delivery to maximize the quality of life for all over a lifetime. The main concept of precision medicine is providing health care which  is individually tailored on the basis of a person’s genes, lifestyle and environment. With the advances in genetics,  artificial intelligence and the growing availability of health

Read more