The public and private sector in the country have become more aware of the potential of AI. And the Government has established several committees to study the implications of AI technologies in the country. India has witnessed a significant increase in the number of job applicants for artificial-intelligence related job in the IT sector. According to a report by a business analyst firm, by 2025, artificial intelligence and cognitive-computing are likely to generate savings of around US $150 billion for the healthcare sector. Firms in India are adopting a technology-forward approach.
Another problem: as many as 30 percent of people enrolled in Alzheimer's studies based on symptoms didn't actually have the disease -- they had other forms of dementia or even other medical conditions. That doesn't give an accurate picture of whether a potential treatment might help, and the new definition aims to improve patient selection by using brain scans and other tests.
The Continuous-Time Hidden Markov Model (CT-HMM) is an attractive approach to modeling disease progression due to its ability to describe noisy observations arriving irregularly in time. However, the lack of an efficient parameter learning algorithm for CT-HMM restricts its use to very small models or requires unrealistic constraints on the state transitions. In this paper, we present the first complete characterization of efficient EM-based learning methods for CT-HMM models. We demonstrate that the learning problem consists of two challenges: the estimation of posterior state probabilities and the computation of end-state conditioned statistics. We solve the first challenge by reformulating the estimation problem in terms of an equivalent discrete time-inhomogeneous hidden Markov model.
Alzheimer's disease is a major cause of death in the elderly. Disease progression is associated with the accumulation of neurofibrillary tangles composed of tau, a protein important for neuronal development and function. Tangle formation is preceded by phosphorylation events that cause tau to dissociate from its native binding partner, microtubules. Microtubule-tau interactions have been mysterious. Kellogg et al. used cryo–electron microscopy and molecular modeling to show how tau interacts with the outer surface of the microtubule, stapling together tubulin subunits and thus stabilizing the polymer.
DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence (AI) in Alzheimer's Applications" report has been added to ResearchAndMarkets.com's offering. Artificial intelligence (AI) is a term used to identify a scientific field that covers the creation of machines aimed at reproducing wholly or in part the intelligent behavior of human beings. These machines include computers, sensors, robots, and hypersmart devices. As shown in the figure below, the ultimate purpose of artificial intelligence is to create smart machines that, through the steps of learning, reasoning, and self-correcting, will eventually be able to make decisions, solve problems, and act like human beings.