What (else) happened? A key question for learning programmes.
Good paper from 2013 on the need to go beyond just asking 'did our programme work?' "It is clear that programme evaluations using traditional ‘outcomes-based’ models are inadequate for the health professions context. Consequently, the scholarship in health professions education has begun to incorporate...
Source: wiley.com
2023: A year of groundbreaking advances in AI and computing
"This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications." A review of 2023 posted by Jeff Dean, Chief Scientist, Google DeepMind & Google Research, Demis Hassabis, CEO, Google DeepMind, and James Manyika, SVP, Google Research,...
Source: research.google
Biopharma futures
I've been looking at a few industry reports on the future of biopharma as part of a course I'm on with INSEAD Business School on Business Strategy and Financial Performance. I thought I'd share some of my ramblings on Biopharma Futures. Expectations are high Pharmaceutical
companies are operating...
Source: deanjenkins.me
Tailored messaging increases understanding of climate change in Republicans
A team of researchers at Yale University's Yale Program on Climate Change Communication has found that the use of tailored advertising can increase awareness among Republicans of the dangers posed by climate change. In their paper published in the journal Nature Climate Change, the group describes field...
Source: phys.org
Detection of a particle shower at the Glashow resonance with IceCube Nature.
The Glashow resonance describes the resonant formation of a W− boson during the interaction of a high-energy electron antineutrino with an electron1, peaking at an antineutrino energy of 6.3 petaelectronvolts (PeV) in the rest frame of the electron. Whereas this energy scale is out of reach for currently...
Source: nature.com
Heisenberg on Helgoland - the value of spending time in natural surroundings
"It was finally time to use his strange calculus to calculate the energy of a real physical system. As his excitement mounted he kept on making mistakes and correcting them, but finally he had it. When he looked at it he was struck with joy and astonishment. Out of the dance of calculations emerged an...
Source: fieldofscience.com
Medical educators’ beliefs about teaching, learning, and knowledge: development of a new framework
Interesting paper about beliefs among medical educators. This has been
developed with a qualitative study of undergraduate educators but the
framework makes for good reading for those of us involved in urging
colleagues and expert speakers to become more learner-centred. "The sharp divide between...
Source: biomedcentral.com
NHS sets up mental health hubs for staff traumatised by Covid
Forty hubs in England will field calls from frontline staff and contact those at higher risk directly
Source: theguardian.com
Ancient Northland swamp kauri solves 42,000 year old mystery
NZ Herald: Ancient Northland swamp kauri shows breakdown of Earth's magnetic field 42,000 years ago. "For the first time ever, we have been able to precisely date the timing and environmental impacts of the last magnetic pole switch," Chris Turney, a professor at UNSW Science and co-lead author of the...
Source: nzherald.co.nz
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
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
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings: Posted by Daniel Freedman and Ehud Rivlin, Research Scientists, Google Health "In “Detecting Deficient Coverage in Colonoscopies”, we introduce the Colonoscopy Coverage Deficiency via Depth algorithm, or C2D2, a machine...
Source: googleblog.com
Twitter Sentiment Analysis Approaches: A Survey
Twitter is one of the most popular microblogging and social networking platforms where massive instant messages (i.e. tweets) are posted every day. Twitter sentiment analysis tackles the problem of analyzing users’ tweets in terms of thoughts, interests and opinions in a variety of contexts and domains....
Source: online-journals.org
When Artificial Intelligence Meets the Internet of Things
AIoT: When Artificial Intelligence Meets the Internet of Things: AI is emerging as a driving technology behind the internet of things (IoT). Learn about the new AIoT, and how it will impact the future. Nice visual summary of an exciting area of innovation. The key challenge I feel is who has power over...
Source: visualcapitalist.com
A Promising Solar Energy Breakthrough Just Achieved 1,000-Degree Heat From Sunlight: A new startup backed by Bill Gates
A Promising Solar Energy Breakthrough Just Achieved 1,000-Degree Heat From Sunlight: A new startup backed by Bill Gates says it has managed to harness solar energy to greater effect than ever before, generating enough heat from a field of mirrored panels to drive the production of cement, steel and glass...
Source: sciencealert.com
Effect of alcohol on promise making - a prisoner
An Economic Analysis of Business Drinking: Evidence from a Lab-in-the-field Experiment
“Our GAAM (guilt aversion and alcohol myopia) model predicts that intoxication increases promise-making but has no effect on promise-breaking. We test these predictions using a prisoner’s dilemma game with pre-play...
Source: gmu.edu
14 Different Types of Learning in Machine Learning.
14 Different Types of Learning in Machine Learning: Machine learning is a large field of study that overlaps with and inherits ideas from many related fields such as artificial intelligence. The focus of the field is learning, that is, acquiring skills or knowledge from experience. Most commonly, this...
Source: machinelearningmastery.com
Teaching a difficult topic in medical genetics using a problem-based concept resembling a computer game.
Teaching a difficult topic using a problem-based concept resembling a computer game: development and evaluation of an e-learning application for medical molecular genetics: E-learning through serious gaming. Teaching concepts such as genetic testing and the digital literacy required to analyse data can...
Source: biomedcentral.com
This book is outstanding - brief, proudly retro, humorous, and genius. A great introduction to the last 60 years of AI.
This book is outstanding - brief, proudly retro, humorous, and genius. A great introduction to the last 60 years of AI. To know a subject so well that you can reduce it to a Ladybird-style book readable by all is a gift. We could all learn from this level of presentation.
It is available online...
Source: amazon.co.uk
Gaining insights with Natural Language Processing of Reddit Data to Evaluate Dermatology Patient Experiences and Therapeutics.
Gaining insights with Natural Language Processing of Reddit Data to Evaluate Dermatology Patient Experiences and Therapeutics. "There is a lack of research studying patient-generated data on Reddit, one of the world’s most popular forums with active users interested in dermatology. Techniques within...
Source: sciencedirect.com
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