Quantum microphone works even better than a regular one
By detecting tiny movements of particles of light, a quantum microphone has recorded human speech that is easier to understand than if it is captured by an equivalent classical version
Source: newscientist.com
6 expert essays on the future of biotech
How will biotechnology transform our approach to human health? Scientists from the World Economic Forum's Global Future Council share key insights. World Economic Forum future of biotech DNA technology - genetic screening for disease, recombinant protein production, CAR T cells, gene therapy, organoid...
Source: weforum.org
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
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
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems: Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for...
Source: nature.com
Smartphone System Detects Food Borne Pathogens |: At Purdue University, a team of engineers and food scientists has developed
Smartphone System Detects Food Borne Pathogens |: At Purdue University, a team of engineers and food scientists has developed a smartphone-powered device, and accompanying underlying technology, for detecting food borne pathogenic bacteria.
Source: medgadget.com
Understanding Latent Dirichlet Allocation with Gibbs Sampling by coding it from scratch. Latent Dirichlet Allocation (LDA)
Understanding Latent Dirichlet Allocation with Gibbs Sampling by coding it from scratch. Latent Dirichlet Allocation (LDA) is a machine-learning technique that by the magic of many (many many) small calculations it can detect patterns in data and cluster documents, for example, into similar topics. ...
Source: github.io
"New Software Diagnoses Cardiac Arrhythmias from ECGs Better Than Cardiologists |: Stanford researchers claim to have developed
"New Software Diagnoses Cardiac Arrhythmias from ECGs Better Than Cardiologists |: Stanford researchers claim to have developed an algorithm that "exceeds the performance of board certified cardiologists in detecting a wide range of heart arrhythmias from electrocardiograms [ECG] recorded with a single-lead...
Source: medgadget.com
Efficacy and effectiveness of screen and treat policies in prevention of type 2 diabetes: systematic review and meta-analysis
Efficacy and effectiveness of screen and treat policies in prevention of type 2 diabetes: systematic review and meta-analysis of screening tests and interventions: Objectives To assess diagnostic accuracy of screening tests for pre-diabetes and efficacy of interventions (lifestyle or metformin) in...
Source: bmj.com
"Startups are better at detecting and unlocking emerging and latent demand. But they often stumble at scaling their proof
"Startups are better at detecting and unlocking emerging and latent demand. But they often stumble at scaling their proof of concept, not only because they’re often doing it for the first time, but also because the skills necessary for creating are not the same as scaling." Eddie Yoon, Steve Hughes....
Source: hbr.org
Smartphone-Based Visual Acuity Measurement for Screening and Clinical Assessment: This commentary discusses a study published
Smartphone-Based Visual Acuity Measurement for Screening and Clinical Assessment: This commentary discusses a study published in JAMA Ophthalmology that describes the accuracy of a smartphone-based visual acuity test for detecting visual impairment in rural Kenya. Christopher J. Brady. Allen O. Eghrari....
Source: jamanetwork.com
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