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Article
Open AccessSix-Month Outcomes of Mechanical Thrombectomy for Treating Deep Vein Thrombosis: Analysis from the 500-Patient CLOUT Registry
Mechanical thrombectomy for the treatment of deep vein thrombosis (DVT) is being increasingly utilized to reduce symptoms and prevent postthrombotic syndrome (PTS), but more data on clinical outcomes are neede...
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Chapter
Drawing: A Dialogue across Disciplines
There are many examples of a cross pollination between those involved in the arts and in the field of health care. This fruitful dialogue has resulted in the production of impressive artwork across many genres...
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Article
Open AccessAuthor Correction: Somatic mosaicism and common genetic variation contribute to the risk of very-early-onset inflammatory bowel disease
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Article
Open AccessCorrection to: Nationwide randomised trial evaluating elective neck dissection for early stage oral cancer (SEND study) with meta-analysis and concurrent real-world cohort
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Article
Open AccessCrime forecasting: a machine learning and computer vision approach to crime prediction and prevention
A crime is a deliberate act that can cause physical or psychological harm, as well as property damage or loss, and can lead to punishment by a state or other authority according to the severity of the crime. T...
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Article
Development of a low-cost strabismus surgery simulation model
Strabismus surgery training has historically focussed on the “see one, do one and teach one” approach. Simulation training offers an alternative to practice surgical skills without direct patient involvement. ...
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Chapter and Conference Paper
Semi-supervised Multi-aspect Detection of Misinformation Using Hierarchical Joint Decomposition
Distinguishing between misinformation and real information is one of the most challenging problems in today’s interconnected world. The vast majority of the state-of-the-art in detecting misinformation is full...
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Article
Correction: Impact of COVID-19 on ophthalmic specialist training in the United Kingdom—the trainees’ perspective
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Article
Impact of COVID-19 on ophthalmic specialist training in the United Kingdom—the trainees’ perspective
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Article
Research Trends on the Usage of Machine Learning and Artificial Intelligence in Advertising
Advertising is a way in which a company introduces possible customers to a company’s product/service, the main objective is possibly to convince them to buy their product or use their service. The significance...
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Article
Open AccessA narrative review of the potential pharmacological influence and safety of ibuprofen on coronavirus disease 19 (COVID-19), ACE2, and the immune system: a dichotomy of expectation and reality
The coronavirus disease 19 (COVID-19) pandemic is currently the most acute healthcare challenge in the world. Despite growing knowledge of the nature of Severe Acute Respiratory Syndrome coronavirus-2 (SARS-Co...
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Article
Open AccessSomatic mosaicism and common genetic variation contribute to the risk of very-early-onset inflammatory bowel disease
Very-early-onset inflammatory bowel disease (VEO-IBD) is a heterogeneous phenotype associated with a spectrum of rare Mendelian disorders. Here, we perform whole-exome-sequencing and genome-wide genoty** in ...
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Chapter and Conference Paper
Minority Reports Defense: Defending Against Adversarial Patches
Deep learning image classification is widely used yet is vulnerable to adversarial attack, which can change the computer classification without changing how humans classify the image. This is possible even if ...
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Chapter
Tensor Embeddings for Content-Based Misinformation Detection with Limited Supervision
Web-based technologies like social media have become primary news outlets for many people in recent years. Considering the fact that these digital outlets are extremely vulnerable to misinformation and fake ne...
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Chapter and Conference Paper
A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts
We present a large-scale characterization of attacker activity across 111 real-world enterprise organizations. We develop a novel forensic technique for distinguishing between attacker activity and benign acti...
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Article
Open AccessNationwide randomised trial evaluating elective neck dissection for early stage oral cancer (SEND study) with meta-analysis and concurrent real-world cohort
Guidelines remain unclear over whether patients with early stage oral cancer without overt neck disease benefit from upfront elective neck dissection (END), particularly those with the smallest tumours.
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Article
Open AccessThrombophilia testing in the inpatient setting: impact of an educational intervention
Thrombophilia testing is frequently ordered in the inpatient setting despite its limited impact on clinical decision-making and unreliable results in the setting of acute thrombosis or ongoing anticoagulation....
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Article
Open AccessA specific synbiotic-containing amino acid-based formula restores gut microbiota in non-IgE mediated cow’s milk allergic infants: a randomized controlled trial
Altered gut microbiota is implicated in cow’s milk allergy (CMA) and differs markedly from healthy, breastfed infants. Infants who suffer from severe CMA often rely on cow’s milk protein avoidance and, when br...
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Article
Open AccessA specific synbiotic-containing amino acid-based formula in dietary management of cow’s milk allergy: a randomized controlled trial
Here we report follow-up data from a double-blind, randomized, controlled multicenter trial, which investigated fecal microbiota changes with a new amino acid-based formula (AAF) including synbiotics in infant...
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Chapter and Conference Paper
Beyond Outlier Detection: LookOut for Pictorial Explanation
Why is a given point in a dataset marked as an outlier by an off-the-shelf detection algorithm? Which feature(s) explain it the best? What is the best way to convince a human analyst that the point is indeed a...
