Explore the vast range of titles available.

Dementia is a social problem in the aging society of advanced countries. Presently, 46.8 million people affected with dementia worldwide, and it may increase to 130 million by 2050. Alzheimer’s disease (AD) is the most common form of dementia. The cost of care for AD patients in 2015 was 818 billion US dollars and is expected to increase intensely due to the increasing number of patients due to the aging society. It isn’t easy to cure AD, but early detection is crucial. This paper proposes a multi-class classification of AD, mild cognitive impairment (MCI), and normal control (NC) subjects using three dimensional-convolutional neural network with Support Vector Machine classifier. A cross-sectional study on structural MRI data of 465 subjects, including 132 AD patients, 181 MCI, and 152 NC, is performed in this paper. The highly complex and spatial atrophy patterns of the brain related to Alzheimer’s Disease and MCI are extracted from structural MRI images using cascaded layers of the three dimensional convolutional neural network. The hectic process of segmentation and further extraction of handcrafted features is eliminated. The complete image is considered for the processing, thus incorporating every region of the brain for the classification. The features extracted using four cascaded layers of three dimensional-convolutional neural network are fed into the Support Vector Machine classifier. The proposed method achieved 97.77% accuracy which outperforms state of the art, and this algorithm is a promising indicator for the diagnosis of AD.

Coronal anatomic slices of structural MRI images clearly show the topographical structures of the Hippocampus and Amygdala, which are essential for early diagnosis of Alzheimer’s disease (AD). MR coronal sections are best appreciated for studying the complex topographical relationships of the amygdala and the topographical structures of the hippocampus, which helps in the early detection of disease. Early diagnosis helps prevent the disease’s progression to its final stage. It allows the patient to be aware of the severity of the disease and can take the necessary therapeutic medications to prevent its progression. A coronal view study of MR images is proposed in this paper for early diagnosis of disease using a wavelet-pooling-based multi-path and multi-scale convolutional neural network. This work aims to perform a three-way classification of 2D coronal slices of MRI images to diagnose Mild Cognitive Impairment, AD, and Normal Control in a single algorithm and learn the brain-affected regions through Gradcam visualization. wavelet-pooling is utilized to extract the texture details of the image and thus provide spatial attention to the texture features of the image, which is impossible using Max-pooling or Average-pooling. Multi-scale feature learning is incorporated using parallel multiple low-rank convolutional kernels to capture varying scales of atrophy regions. Multi-path mode compensates for the early loss of features and avoids vanishing gradient problems. The proposed model is trained and tested on the ADNI dataset comprising 900 subjects to give an accuracy of 96.5 % with ten-fold cross-validation. The multi-scale and multi-path methods significantly reduce the number of learnable parameters.

Alzheimer’s disease is one of the most frequently studied diseases of the nervous system although it has no cure or slowing its progression. There are various options for treating the symptoms of Alzheimer’s disease in different stages and as the disease progresses over time, patients in their various stages need different treatment. Diagnosis of Alzheimer’s in the elderly is quietly difficult and requires representation of a discriminatory factor in isolation due to similar brain patterns and pixel strength. Deep learning strategies are able to learn such representations from the data. In this proposed work we perform multilevel classification of Alzheimer’s disease ie; Mild Demented, Moderate Demented, Non Demented and Very Mild Demented using transfer learning with VGG16 using Fastai. This approach results in 99% predictive accuracy which means a significant increase in accuracy compared to previous studies and clearly demonstrates the effectiveness of the proposed methods.

With just nine days until this year's marquee elections and President Trump facing his first major test at the ballot box, early voting is now underway in the three key races, and some of the biggest names in politics are now barnstorming through New Jersey, New York and Virginia. On his way to Asia, though, Trump turned his attention to a nation closer to home, U.S. ally Canada, slapping an additional 10 percent tariff on America's neighbor to the north after the government of Ontario released an ad featuring an anti-tariff speech by Ronald Reagan. It's day 26 of the government shutdown and there is no end in sight. President Trump is out of town for a week and so is the House with just days until two looming deadlines -- food stamp benefits are about to run out and a key health care enrollment period begins. Anxiety is rising among Republicans over a looming issue at the heart of the government shutdown -- health care costs. The fear Republicans don't have a plan to deal with skyrocketing premiums that could be felt as soon as next week. At the heart of Elon Musk's fury with President Trump was about NASA. Musk, the head of SpaceX, was angry when Trump abandoned his close ally, Jared Isaacman, to lead the space agency. GUESTS: Sen. David McCormick (R-PA), John Bresnahan, Tia Mitchell, David Weigel, Molly Ball

Trump & Canadian PM Carney meet to discuss tariffs; Trump on trade: \"The U.S. Gave Everything To Canada\"; Trump on Insurrection Act: \"If The Governor Can't Do The Job, We'll Do The Job\"; Trump: \"We Are The King Of Being Screwed By Tariffs\"; Trump: \"We Are Going To Especially Treat Canada Fairly\"

President Trump demands unflinching loyalty from Republicans otherwise it is viewed as an act of betrayal. And now the Republican who has become perhaps the most disloyal is about to endure MAGA wrath. President Trump has made it clear Baltimore could be next, as he plans to send troops to cities across the country. But Maryland is responding, announcing plans to deploy more state law enforcement to fight crime in Baltimore and telling Trump, \"no thanks\". Week two of the college football season is now behind us but many fans may still have no idea who is actually playing on their favorite teams. And that's because of the chaotic situation in collegiate athletics where athletes jump from school to school looking for the best deals to profit off of their name, image and likeness. Nearly a year after losing to Donald Trump, Democrats are looking for the solution to their identity crisis. On the heels of troubling economic numbers, President Trump is quickly trying to turn the page; he shared this on Truth Social this weekend, offering a blunt warning to the city of Chicago. President Trump demands unflinching loyalty from Republicans; and now, the Republican who has become perhaps the most disloyal is about to endure MAGA wrath. GUESTS: Rachael Bade, David Weigel, Tia Mitchell, Mayor Brandon Scott

Victims' families address Kohberger directly with impact statements; Sister and father of Xana Kernodle speaks at Kohberger sentencing. GUESTS: Areva Martin

Perhaps no single lawmaker has been more pivotal or in thespotlight or faced more blowback from the left over the last fouryears than Senator Joe Manchin. But after 15 years in the Senate, theDemocrat turned Independent from the deeply red state of West Virginiais hanging it up. The new top progressive in the House says Democratswould have won the 2024 presidential election if they had moved to theleft instead of moving to the middle. You just heard what Senator JoeManchin thought of that idea. So who's right? On Friday night, theU.S. Senate confirmed Biden's 235th judicial nominee. That'sofficially surpassing the number of judges appointed by Trump in hisfirst term. GUESTS: Sen. Joe Manchin (I-WV), Susan Page, Molly Ball, David Weigel,Olivia Beavers