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A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
ConclusionThis review's objective is to increase scholars' interest in this difficult field and familiarize them with current advancements in it. To create CAD systems aimed at brain tumor identification using MR images, digital image processing approaches, such as preprocessing, segmentation, and classification, are applied. The classic machine learning and deep learning approaches for brain tumor identification are deliberated in this work. This paper provides a summary of commonly used MR image datasets. For classification, various machine learning and deep learning algorithms have been used. This survey examines curren...
Source: Health and Technology - February 27, 2023 Category: Information Technology Source Type: research

How AI Is Changing Medical Imaging to Improve Patient Care
That doctors can peer into the human body without making a single incision once seemed like a miraculous concept. But medical imaging in radiology has come a long way, and the latest artificial intelligence (AI)-driven techniques are going much further: exploiting the massive computing abilities of AI and machine learning to mine body scans for differences that even the human eye can miss. Imaging in medicine now involves sophisticated ways of analyzing every data point to distinguish disease from health and signal from noise. If the first few decades of radiology were about refining the resolution of the pictures taken of...
Source: TIME: Health - November 4, 2022 Category: Consumer Health News Authors: Alice Park and Video by Andrew D. Johnson Tags: Uncategorized Frontiers of Medicine 2022 healthscienceclimate Innovation sponsorshipblock Source Type: news

Janssen Announces U.S. FDA Approval of PONVORY ™ (ponesimod), an Oral Treatment for Adults with Relapsing Multiple Sclerosis Proven Superior to Aubagio® (teriflunomide) in Reducing Annual Relapses and Brain Lesions
TITUSVILLE, N.J. – (March 19, 2021) – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced that the U.S. Food and Drug Administration (FDA) approved PONVORY™ (ponesimod), a once-daily oral selective sphingosine-1-phosphate receptor 1 (S1P1) modulator, to treat adults with relapsing forms of multiple sclerosis (MS), to include clinically isolated syndrome, relapsing-remitting disease and active secondary progressive disease.1,2,3 PONVORY™ offers MS patients superior efficacy in reducing annualized relapse rates compared to an established oral therapy and a proven safety profile backed by ove...
Source: Johnson and Johnson - March 19, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news

Shengui Sansheng San Ameliorates Cerebral Energy Deficiency via Citrate Cycle After Ischemic Stroke
Conclusion In summary, SSS extraction significantly ameliorates cerebral energy metabolism via boosting citrate cycle, which mainly embodies the enhancements of blood glucose concentration, glucose and lactate transportation and glucose utilization, as well as the regulations of relative enzymes activities in citrate cycle. These ameliorations ultimately resulted in numerous ATP yield after stroke, which improved neurological function and infarcted volume. Collectively, it suggests that SSS extraction has exerted advantageous effect in the treatment of cerebral ischemia. Ethics Statement All animal operations were accor...
Source: Frontiers in Pharmacology - April 22, 2019 Category: Drugs & Pharmacology Source Type: research

Cancers, Vol. 11, Pages 111: A Review on a Deep Learning Perspective in Brain Cancer Classification
uca Saba Jasjit S. Suri A World Health Organization (WHO) Feb 2018 report has recently shown that mortality rate due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. It is of critical importance that cancer be detected earlier so that many of these lives can be saved. Cancer grading is an important aspect for targeted therapy. As cancer diagnosis is highly invasive, time consuming and expensive, there is an immediate requirement to develop a non-invasive, cost-effective and efficient tools for brain cancer characterization and grade estimation. Brain scans using magnetic resonanc...
Source: Cancers - January 18, 2019 Category: Cancer & Oncology Authors: Gopal S. Tandel Mainak Biswas Omprakash G. Kakde Ashish Tiwari Harman S. Suri Monica Turk John R. Laird Christopher K. Kwaku A. Annabel A. Ankrah N. N. Khanna B. K. Madhusudhan Luca Saba Jasjit S. Suri Tags: Review Source Type: research

Korean JLK Inspection launches AI-powered imaging diag system
Korean JLK Inspection said yesterday that it launched its AIHub artificial intelligence-powered medical image diagnostics platform. The newly launched AIHub system is designed to analyze images from a number of different imaging modalities, including magnetic resonance imaging, computed tomography, X-ray and mammography, the Seoul-based company said. JLK Inspection claims the system can detect and monitor for more than 30 medical conditions in 14 regions of the body. The company added that the system is focused on brain diseases and conditions including ischemic stroke, hemorrhagic stroke, brain aneurysm and Alzheimer̵...
Source: Mass Device - December 27, 2018 Category: Medical Devices Authors: Fink Densford Tags: Diagnostics Imaging Software / IT jlkinspection Source Type: news

Reflections on the Future of Medicine
Recently, I traveled through China. I climbed mountains, hiked through forests, crossed deep valleys. I visited cities of every size. I floated across lakes and traveled beautiful shorelines churning with life. As a man of a certain age, I began to compare the permanence of the timeless landscape with the evanescence of my own existence. Yet, as a scientist, I knew these reflections were flawed. Scientists are trained to think in terms of aeons, millenia, and lifetimes. Consider the paradox. Is it the solid mountain or fragile the forest that is permanent? Is it the massive shoreline cliffs or the teeming shore life that...
Source: Science - The Huffington Post - January 9, 2017 Category: Science Source Type: news