Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial
"Background Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods...
Source: biomedcentral.com
How machine learning might unlock earthquake prediction
Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety.
Source: technologyreview.com
Discovery of a structural class of antibiotics with explainable deep learning.
One of the challenges with deep learning (neural networks) is that although they find patterns the reasoning disappears into an endless detail of numbers. In this paper the researchers built an 'explainable' AI to discover antibiotics instead of such a 'black box'. "The discovery of novel structural...
Source: nature.com
This AI Trained on the Life Events of Every Person in Denmark. It Can Now Predict Their Future.
Artificial intelligence is very good at finding patterns. Given enough data it will start making telling you what's going to happen. "The AI can make highly accurate predictions about people’s lives, including how likely they are to die in a given time window and their personality traits." ... ...
Source: singularityhub.com
Machines may be better at assisting, not replacing us.
Journalist Kawandeep Virdee sees if he can be replaced by AI by writing some predictions for 2024. "I gave ChatGPT the last 13 years of Nieman Lab predictions ... [and asked it what I'd write about in 2024]" [ChatGPT suggested] Navigating the infodemic: Strategies for media in the era of misinformation...
Source: niemanlab.org
Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million
We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12–16%...
Source: nature.com
Fatalism - the stalemate of us vs. COVID-19
Stephen Casper - medical historian at Clarkson University - offers a worrying prediction for COVID for the end of 2022. The analogy for COVID-19 won't be influenza but 'tuberculosis before the discovery of antibiotics'. A new hospital specialty might even exist - looking after COVID patients - and they...
Source: twitter.com
Factors affecting the uptake of new medicines: a systematic literature review - BMC Health Services Research Lublóy, Ágnes.
"This systematic literature review has provided insights into the factors that affect new drug uptake—primarily, doctors’ scientific orientation, prescribing habits, exposure to pharmaceutical marketing, and interpersonal communication." "Background The successful diffusion of new drugs is crucial...
Source: biomedcentral.com
Bank of England predicts rebound in the economy
"The Bank of England said Britain's economy would grow by the most since World War Two this year and slowed the pace of its trillion dollar bond-purchasing programme, but stressed it was not reversing its stimulus." Strong indications finally of a bounce back in the economy highlight the devastating...
Source: reuters.com
IEA issues 'dire warning' on CO2 emissions as it predicts 5% rise
Global CO2 emissions from energy are seen rising nearly 5% this year, suggesting the economic rebound from COVID-19 could be "anything but sustainable" for the climate, the International Energy Agency said on Tuesday.
Source: reuters.com
Using Markov chain model to evaluate medical students’ trajectory on progress tests and predict USMLE step 1 scores---a
Background Medical students must meet curricular expectations and pass national licensing examinations to become physicians. However, no previous studies explicitly modeled stages of medical students acquiring basic science knowledge. In this study, we employed an innovative statistical model to characterize...
Source: biomedcentral.com
Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review - PubMed Journal of psoriasis
Machine learning has significant potential to aid psoriasis evaluation and management. Current topics popular in ML research on psoriasis are the evaluation of medical images, prediction of complications, and treatment discovery. For patients to derive the greatest benefit from ML advancements, it i...
Source: nih.gov
Preventing critical failure
Can routinely collected data be repurposed to predict avoidable patient harm? A quantitative descriptive study Objectives To determine whether sharing of routinely collected health service performance data could have predicted a critical safety failure at an Australian maternity service. Design Observational...
Source: bmj.com
Abundant Rain Turns Namibia Green
The landscape has been transformed by the wettest rainy season since 2011. "January 2021 saw rainfall totals double to triple the norm in the northeastern, central, and southern parts of Namibia. According to a weather monitor in Windhoek, 228 millimeters (9 inches) of rain fell in January; the long-term...
Source: nasa.gov
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
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
Effect of school closures on mortality from coronavirus disease 2019: old and new predictions
"It was predicted in March 2020 that in response to covid-19 a broad lockdown, as opposed to a focus on shielding the most vulnerable members of society, would reduce immediate demand for ICU beds at the cost of more deaths long term. The optimal strategy for saving lives in a covid-19 epidemic is different...
Source: bmj.com
Performance of China
Performance of China’s new medical licensing examination for rural general practice: To evaluate the performance of China’s new medical licensing examination (MLE) for rural general practice, which determines the number of qualified doctors who can provide primary care for China’s rural residents,...
Source: biomedcentral.com
Police Across Canada Are Using Predictive Policing Algorithms
Police Across Canada Are Using Predictive Policing Algorithms, Report Finds: Police across Canada are increasingly adopting algorithmic technology to predict crime. The authors of a new report say human rights are threatened by the practice.
Source: vice.com
Elevated CO2, increased leaf-level productivity, and water-use efficiency during the early Miocene: Abstract. Rising atmospheric
Elevated CO2, increased leaf-level productivity, and water-use efficiency during the early Miocene: Abstract. Rising atmospheric CO2 is expected to increase global
temperatures, plant water-use efficiency, and carbon storage in the
terrestrial biosphere. A CO2 fertilization effect on terrestrial
vegetation...
Source: copernicus.org
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