• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

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

Therapeutic Effect of Repetitive Transcranial Magnetic Stimulation for Post-stroke Vascular Cognitive Impairment: A Prospective Pilot Study
ConclusionsHigh-frequency rTMS on the ipsilesional DLPFC may exert immediate efficacy on cognition with the anti-inflammatory response and changes in brain network in PSCI, lasting at least 3 months.
Source: Frontiers in Neurology - March 22, 2022 Category: Neurology Source Type: research

Potential Applications of Remote Limb Ischemic Conditioning for Chronic Cerebral Circulation Insufficiency
Conclusion Due to its long-term and often invisible course, CCCI has received less attention than acute cerebral ischemic stroke. However, without appropriate intervention, CCCI may lead to a variety of adverse events. Because the pathophysiological changes associated with CCCI are complex, pharmacological research in this area has been disappointing. Recent research suggests that RLIC, which is less invasive and more well-tolerated than drug treatment, can activate endogenous protective mechanisms during CCCI. In the present report, we reviewed studies related to CCCI (Table 1), as well as those related to stroke and sta...
Source: Frontiers in Neurology - May 2, 2019 Category: Neurology Source Type: research

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

MRI for all: Cheap portable scanners aim to revolutionize medical imaging
.news-article__hero--featured .parallax__element{ object-position: 47% 50%; -o-object-position: 47% 50%; } The patient, a man in his 70s with a shock of silver hair, lies in the neuro intensive care unit (neuro ICU) at Yale New Haven Hospital. Looking at him, you’d never know that a few days earlier a tumor was removed from his pituitary gland. The operation didn’t leave a mark because, as is standard, surgeons reached the tumor through his nose. He chats cheerfully with a pair of research associates who have come to check his progress with a new and potentially revolutionary device they are testing. The cylind...
Source: Science of Aging Knowledge Environment - February 23, 2023 Category: Geriatrics 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

Neuroimaging and Neurolaw: Drawing the Future of Aging
Vincenzo Tigano1, Giuseppe Lucio Cascini2, Cristina Sanchez-Castañeda3, Patrice Péran4 and Umberto Sabatini5* 1Department of Juridical, Historical, Economic and Social Sciences, University of Magna Graecia, Catanzaro, Italy 2Department of Experimental and Clinical Medicine, University of Magna Graecia, Catanzaro, Italy 3Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain 4ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France 5Department of Medical and Surgical Sciences, University of Magna Graecia, Catanzaro, ...
Source: Frontiers in Endocrinology - April 7, 2019 Category: Endocrinology Source Type: research

How AI Can Predict Heart Attacks and Strokes
Artificial intelligence is making its way into health care, and one of its first stops is making sense of all of those scans that doctors order. Already, studies have shown that AI-based tools can, in some cases, pick out abnormal growths that could be cancerous tumors better than doctors can, mainly because digesting and synthesizing huge volumes of information is what AI does best. In a study published Feb. 14 in Circulation, researchers in the U.K. and the U.S. report that an AI program can reliably predict heart attacks and strokes. Kristopher Knott, a research fellow at the British Heart Foundation, and his team condu...
Source: TIME: Health - February 14, 2020 Category: Consumer Health News Authors: Alice Park Tags: Uncategorized Artificial Intelligence Heart Disease Source Type: news

MRI reveals genetic activity: Deciphering genes' roles in learning and memory
Doctors commonly use magnetic resonance imaging (MRI) to diagnose tumors, damage from stroke, and many other medical conditions. Neuroscientists also rely on it as a research tool for identifying parts of the brain that carry out different cognitive functions. Now, biological engineers are trying to adapt MRI to a much smaller scale, allowing researchers to visualize gene activity inside the brains of living animals.
Source: ScienceDaily Headlines - March 25, 2014 Category: Science 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

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

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