Filtered By:
Cancer: Cancer
Education: Learning

This page shows you your search results in order of date. This is page number 3.

Order by Relevance | Date

Total 227 results found since Jan 2013.

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

Modeling of COVID ‐19 death rate using various air pollutants: A multiple linear regression approach
AbstractAir pollution is a significant health risk, especially for vulnerable populations such as children, people with chronic illnesses, the elderly, and the economically and socially disadvantaged. Furthermore, air pollution has enormous social costs that we all bear in the form of premature deaths, low productivity, sick leave, and other strains on the healthcare system. The primary sources of air pollution are traffic, home fires, and industry. Measuring NO2 levels in air pollution reveals the extent of pollution caused by traffic, particularly diesel vehicles, which are the primary source of NO2. COVID-19 rates are r...
Source: Environmental Quality Management - February 23, 2023 Category: Environmental Health Authors: Kambhampati Teja, Nirban Laskar, Ruhul Amin Mozumder Tags: RESEARCH ARTICLE Source Type: research

The 3rd Beijing Forum of Evidence-Based Medicine and 2023 Cochrane China Network Symposium successfully held
Cochrane China recently hosted a virtual event for the evidence-based medicine community that brought together many of its partners, local expertise, and international speakers. Here the team provides an overview of who was involved and what was covered at the event.  The3rd Beijing forum of evidence-based medicine and Cochrane China Network  Symposium was successfully held virtually on January 15th, 2023. The host of this conference wereCochrane China Network and Beijing GRADE Center. The organizers are Centre for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, affiliate of the Cochrane China Ne...
Source: Cochrane News and Events - February 17, 2023 Category: Information Technology Authors: Muriah Umoquit Source Type: news

Janssen Data at ASCO GU Support Ambition to Transform Treatment of Prostate and Bladder Cancer Through Precision Medicine and Early Intervention
RARITAN, N.J., February 13, 2023 – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced plans to present more than 20 abstracts featuring seven oncology therapies from its robust portfolio and pipeline at the annual American Society of Clinical Oncology (ASCO) Genitourinary (GU) Cancers Symposium, taking place in San Francisco on February 16-18. Building on more than a decade of leadership in the development of medicines for people diagnosed with GU cancers, Janssen will present data demonstrating its ambition to advance patient-centered treatment through precision medicine, real-world evidence a...
Source: Johnson and Johnson - February 13, 2023 Category: Pharmaceuticals Tags: Latest News Source Type: news

Rapid MRI protocol leads to reduced image acquisition times
A rapid lumbar MRI protocol that uses 3D imaging and deep learning reconstructio...Read more on AuntMinnie.comRelated Reading: Reducing use of sedation for pediatric MRI cuts healthcare costs Ultrafast MRI shows promise in predicting DCIS upstaging Ultrafast DCE-MRI helps predict breast cancer treatment response Is abbreviated MRI useful for women at average breast cancer risk? Rapid MRI for ED stroke evaluation cuts costs, hospital length of stay
Source: AuntMinnie.com Headlines - January 6, 2023 Category: Radiology Source Type: news

On prioritising global health ' s triple crisis of sepsis, COVID-19 and antimicrobial resistance: a mixed-methods study from Malawi.
Conclusion Our analysis revealed strong relationships between in-hospital mortality and hospital case volume in hospitals treating a small number of cases. The nonlinearity and nonm onotonicity of the estimated relationships indicate that studies applying conventional statistical approaches like logistic regression should consider these relationships adequately.
Source: Current Awareness Service for Health (CASH) - December 14, 2022 Category: Consumer Health News Source Type: news

On prioritising global health ' s triple crisis of sepsis, COVID-19 and antimicrobial resistance: a mixed-methods study from Malawi
Conclusion Our analysis revealed strong relationships between in-hospital mortality and hospital case volume in hospitals treating a small number of cases. The nonlinearity and nonm onotonicity of the estimated relationships indicate that studies applying conventional statistical approaches like logistic regression should consider these relationships adequately.
Source: Current Awareness Service for Health (CASH) - December 14, 2022 Category: Consumer Health News Source Type: news

Real-World Study Confirms Benefit of XARELTO ® (rivaroxaban) for Secondary Prevention of Venous Thromboembolism in Cancer Patients
TITUSVILLE, NJ, December 9, 2022 – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced observational data from eight years of clinical practice showing that the oral Factor Xa inhibitor XARELTO® (rivaroxaban) is associated with comparable effectiveness and safety to the Factor Xa inhibitor apixaban for the treatment of cancer-associated thromboembolism (CAT) in a broad cohort of patients with various cancer types. Patients with CAT are at a higher risk of venous thromboembolism (VTE), which is the second-leading cause of death in people with cancer.1Data from the Observational Study in Cancer-A...
Source: Johnson and Johnson - December 9, 2022 Category: Pharmaceuticals Tags: Latest News Source Type: news

Ischemic stroke of unclear aetiology: a case-by-case analysis and call for a multi-professional predictive, preventive and personalised approach
AbstractDue to the reactive medical approach applied to disease management, stroke has reached an epidemic scale worldwide. In 2019, the global stroke prevalence was 101.5 million people, wherefrom 77.2 million (about 76%) suffered from ischemic stroke; 20.7 and 8.4 million suffered from intracerebral and subarachnoid haemorrhage, respectively. Globally in the year 2019 — 3.3, 2.9 and 0.4 million individuals died of ischemic stroke, intracerebral and subarachnoid haemorrhage, respectively. During the last three decades, the absolute number of cases increased substantially. The current prevalence of stroke is 110 million ...
Source: EPMA Journal - November 17, 2022 Category: International Medicine & Public Health Source Type: research

Sensors, Vol. 22, Pages 8615: A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions
is Kyriazis Extracting useful knowledge from proper data analysis is a very challenging task for efficient and timely decision-making. To achieve this, there exist a plethora of machine learning (ML) algorithms, while, especially in healthcare, this complexity increases due to the domain’s requirements for analytics-based risk predictions. This manuscript proposes a data analysis mechanism experimented in diverse healthcare scenarios, towards constructing a catalogue of the most efficient ML algorithms to be used depending on the healthcare scenario’s requirements and datasets, for efficient...
Source: Sensors - November 8, 2022 Category: Biotechnology Authors: Argyro Mavrogiorgou Athanasios Kiourtis Spyridon Kleftakis Konstantinos Mavrogiorgos Nikolaos Zafeiropoulos Dimosthenis Kyriazis Tags: Article 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

U.S. FDA Approves TECVAYLI ™ (teclistamab-cqyv), the First Bispecific T-cell Engager Antibody for the Treatment of Patients with Relapsed or Refractory Multiple Myeloma
HORSHAM, Pa., October 25, 2022 – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today that the U.S. Food and Drug Administration (FDA) approved TECVAYLI™ (teclistamab-cqyv) for the treatment of adult patients with relapsed or refractory multiple myeloma, who previously received four or more prior lines of therapy, including a proteasome inhibitor, immunomodulatory drug and anti-CD38 monoclonal antibody.1 TECVAYLI™ is a first-in-class, bispecific T-cell engager antibody that is administered as a subcutaneous treatment.1 This off-the-shelf (or ready to use) therapy uses innovative science to ac...
Source: Johnson and Johnson - October 25, 2022 Category: Pharmaceuticals Tags: Innovation Source Type: news

Vascular adhesion protein-1 (VAP-1) in vascular inflammatory diseases
Vasa. 2022 Oct 6. doi: 10.1024/0301-1526/a001031. Online ahead of print.ABSTRACT Vascular adhesion protein-1 (VAP-1) also known as amino oxidase copper containing 3 (AOC3) is a pro-inflammatory and versatile molecule with adhesive and enzymatic properties. VAP-1 is a primary amine oxidase belonging to the semicarbazide-sensitive amine oxidase (SSAO) family, which catalyzes the oxidation of primary amines leading to the production of ammonium, formaldehyde, methylglyoxal, and hydrogen peroxide. VAP-1 is mainly expressed by endothelial cells, smooth muscle cells, adipocytes and pericytes. It is involved in a repertoire of bi...
Source: Atherosclerosis - October 6, 2022 Category: Cardiology Authors: Marianna Danielli Roisin Clare Thomas Lauren Marie Quinn Bee Kang Tan Source Type: research