Eeek! or E484K mutation and the coronavirus pandemic
Rupert Beale · Eeek! · LRB 19 February 2021: "Uncontrolled spread – as we knew it would – led to an even greater wave of infections, hospitalisations and deaths than last spring. Children were sent to school for one day before the necessary ‘lockdown’ was reimposed. The impulse to keep schools...
Source: lrb.co.uk
AI uses "ugly duckling" technique to spot melanoma with high accuracy
"Artificial intelligence is starting to combine with smartphone technology in ways that could have profound impacts on the way we monitor health, from tracking blood volume changes in diabetics to detecting concussions by filming the eyes." "Using the technology to spot melanoma in its early stages is...
Source: newatlas.com
A Convolutional Neural Network architecture for the recognition of cutaneous manifestations of COVID-19
To our best knowledge, this is the first machine learning-based study for automated detection of COVID-19 based on skin images and may provide a useful decision support tool for physicians to optimize contact-free COVID-19 triage, differential diagnosis of skin lesions and patient care. Mathur J, Chouhan...
Source: nih.gov
Increasing Students Critical Thinking Skills and Learning Motivation Using Inquiry Mind Map
These researchers from Indonesia explore the use of inquiry-based models in encouraging critical thinking in medical students. "Critical thinking skills are very important to have for students given the rapid distribution of information. To promote the critical thinking skills of the student, it could...
Source: online-journals.org
Brain-Based Learning, Myth versus Reality: Testing Learning Styles and Dual Coding | Science-Based Medicine: Ed. Note: Today
Brain-Based Learning, Myth versus Reality: Testing Learning Styles and Dual Coding | Science-Based Medicine: Ed. Note: Today we present a guest post from Josh Cuevas, a cognitive psychologist and assistant professor in the College of Education at the University of North Georgia. Enjoy! "Since early on...
Source: sciencebasedmedicine.org
3D Scene Understanding with TensorFlow 3D
Posted by Alireza Fathi, Research Scientist and Rui Huang, AI Resident, Google Research "The growing ubiquity of 3D sensors (e.g., Lidar, depth sensing cameras and radar) over the last few years has created a need for scene understanding technology that can process the data these devices capture. Such...
Source: googleblog.com
Amazon India launches online academy to coach future engineers: Amazon.com Inc has launched an online academy to train students
Amazon India launches online academy to coach future engineers: Amazon.com Inc has launched an online academy to train students for one of India's most competitive college entrance tests, the e-commerce giant said on Wednesday, as it taps a boom in virtual learning during the COVID-19 pandemic.
Source: reuters.com
11 TOPS photonic convolutional accelerator for optical neural networks: Convolutional neural networks, inspired by biological
11 TOPS photonic convolutional accelerator for optical neural networks: Convolutional neural networks, inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to provide greatly reduced parametric complexity...
Source: nature.com
Meet Nazirini AI App developer in Uganda
Machine learning meets African agriculture: Developers using TensorFlow to fight crop pests in Uganda. Meet Nazirini one of the developers.
Source: blog.google
Is heutagogy the future of education?
Fred Garnett, an educationalist, from the Heutagogy Stakeholder Group - a UNESCO initiative. "Humans developed the capability of 'social learning' over millennia before settlements enabled the development of 'civilisation'. We then invented education formalising what we had previously learnt informally....
Source: wordpress.com
Why Use Ensemble Learning? - Machine Learning Mastery: What are the Benefits of Ensemble Methods for Machine Learning? Ensembles
Why Use Ensemble Learning? - Machine Learning Mastery: What are the Benefits of Ensemble Methods for Machine Learning?
Ensembles are predictive models that combine predictions from two or more other models.
Ensemble learning methods are popular and the go-to technique when the best performance on...
Source: machinelearningmastery.com
How we learnt to stop worrying and love web scraping: For Nicholas DeVito, Georgia Richards and Peter Inglesby, custom webscrapers
How we learnt to stop worrying and love web scraping: For Nicholas DeVito, Georgia Richards and Peter Inglesby, custom webscrapers have driven their research — and their collaborations. For Nicholas DeVito, Georgia Richards and Peter Inglesby, custom webscrapers have driven their research — and...
Source: nature.com
Current themes and challenges facing HPE accreditation in the 21st century
A supplement in BMC Medical Education on Health Professional Education accreditation from the community of practice The International Health Professions Accreditation Outcomes Consortium (IFPAOC) - which was founded in 2012. This supplement focuses on graduate and residency programmes but it also addresses...
Source: biomedcentral.com
Adaptive tutorials versus web-based resources in radiology: a mixed methods analysis in junior doctors of efficacy and engagement:
Adaptive tutorials versus web-based resources in radiology: a mixed methods analysis in junior doctors of efficacy and engagement: Radiology education is limited in undergraduate Medicine programs. Junior doctors might not have the necessary background to effectively order and interpret diagnostic imaging...
Source: biomedcentral.com
Supporting migrants and refugees with posttraumatic stress disorder: development, pilot implementation, and pilot evaluation
Supporting migrants and refugees with posttraumatic stress disorder: development, pilot implementation, and pilot evaluation of a continuing interprofessional education for healthcare providers: Refugees and migrants face an increased risk of developing posttraumatic stress disorder (PTSD). Adequate...
Source: biomedcentral.com
The Sandwich principle: assessing the didactic effect in lectures on
The Sandwich principle: assessing the didactic effect in lectures on “cleft lips and palates”: A teaching concept, that takes individual learning and personal belongings into account, is called the “sandwich principle.” This didactic method is an educational concept that alternates consecutively...
Source: biomedcentral.com
Proposal for a New Tool to Evaluate a Serious Game
Proposal for a New Tool to Evaluate a Serious Game: The current enthusiasm of generations of students for video games and the marked interest of training institutions for the use of playful strategies, which facilitate learning, has encouraged the development and use of formative games called Serious...
Source: online-journals.org
A deep learning system for differential diagnosis of skin diseases - PubMed: Skin conditions affect 1.9 billion people.
A deep learning system for differential diagnosis of skin diseases - PubMed: Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are seen instead by general practitioners with lower diagnostic accuracy. We present a deep learning system (DLS) to provide a differential...
Source: nih.gov
Learning to Summarize with Human Feedback: We've applied reinforcement learning from human feedback to train language models
Learning to Summarize with Human Feedback: We've applied reinforcement learning from human feedback to train language models that are better at summarization. Our models generate summaries that are better than summaries from 10x larger models trained only with supervised learning. Even though we train...
Source: openai.com
How novice and expert anaesthetists understand expertise in anaesthesia: a qualitative study: The development of expertise
How novice and expert anaesthetists understand expertise in anaesthesia: a qualitative study: The development of expertise in anaesthesia requires personal contact between a mentor and a learner. Because mentors often are experienced clinicians, they may find it difficult to understand the challenges...
Source: biomedcentral.com
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