PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data

Parkinson's disease is a neurodegenerative disease that can affect a person's movement, speech, dexterity, and cognition. Clinicians primarily diagnose Parkinson's disease by performing a clinical assessment of symptoms. However, misdiagnoses are common. One factor that contributes to misdiagnoses is that the symptoms of Parkinson's disease may not be prominent at the time the clinical assessment is performed. Here, we present a machine-learning approach towards distinguishing between people with and without Parkinson's disease using long-term data from smartphone-based walking, voice, tapping and memory tests. We demonstrate that our attentive deep-learning models achieve significant improvements in predictive performance over strong baselines (area under the receiver operating characteristic curve = 0.85) in data from a cohort of 1853 participants. We also show that our models identify meaningful features in the input data. Our results confirm that smartphone data collected over extended periods of time could in the future potentially be used as a digital biomarker for the diagnosis of Parkinson's disease.Comment: AAAI Conference on Artificial Intelligence 201

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves

Estimating what would be an individual's potential response to varying levels of exposure to a treatment is of high practical relevance for several important fields, such as healthcare, economics and public policy. However, existing methods for learning to estimate counterfactual outcomes from observational data are either focused on estimating average dose-response curves, or limited to settings with only two treatments that do not have an associated dosage parameter. Here, we present a novel machine-learning approach towards learning counterfactual representations for estimating individual dose-response curves for any number of treatments with continuous dosage parameters with neural networks. Building on the established potential outcomes framework, we introduce performance metrics, model selection criteria, model architectures, and open benchmarks for estimating individual dose-response curves. Our experiments show that the methods developed in this work set a new state-of-the-art in estimating individual dose-response

Corruption in the Bidding, Construction, and Organization of Mega-Events: An Analysis of the Olympics and World Cup

In the processes required to host a sports mega-event, corruption has been prevalent on numerous occasions, leading to unnecessary costs becoming the ultimate responsibility of a host government’s taxpayers. Little progress has been made in the prevention of such behavior. In this chapter, we examine the history of corruption in sports mega-events, namely the Olympics and World Cup, to identify parts of the bidding and preparation processes that are vulnerable to illicit behavior. We propose potential solutions to be implemented at various levels in order to prevent further corruption

The osteoporosis treatment gap in Switzerland between 1998 and 2018.

UNLABELLED The annual number of patients treated for osteoporosis between 1998 and 2018 in Switzerland increased until 2008 and steadily decreased thereafter. With a continuously growing population at fracture risk exceeding an intervention threshold, the treatment gap has increased and the incidence of hip fractures has stopped declining in the past decade. INTRODUCTION The existence of an osteoporosis treatment gap, defined as the percentage of patients at risk for osteoporotic fractures exceeding an intervention threshold but remaining untreated, is widely acknowledged. Between 1998 and 2018, new bone active substances (BAS) indicated for the treatment of osteoporosis became available. Whether and if so to what extent these new introductions have altered the treatment gap is unknown. METHODS The annual number of patients treated with a BAS was calculated starting from single-drug unit sales. The number of patients theoretically eligible for treatment with a BAS was estimated based on four scenarios corresponding to different intervention thresholds (one based solely on a bone mineral density T score threshold and three FRAX-based thresholds) and the resulting annual treatment gaps were calculated. RESULTS In Switzerland, the estimated number of patients on treatment with a BAS increased from 35,901 in year 1998 to 233,381 in year 2018. However, this number grew regularly since 1998, peaked in 2008, and steadily decreased thereafter, in timely coincidence with the launch of intravenous bisphosphonates and the RANKL inhibitor denosumab. When expressed in numbers of untreated persons at risk for osteoporotic fractures exceeding a given intervention threshold, the treatment gaps were of similar magnitude in 1998 (when the first BSAs just had become available) and 2018. There was a strong association, which does not imply causation, between the proportion of patients treated and hip fracture incidence. CONCLUSION In Switzerland, the osteoporosis treatment gap has increased over the past decade. The availability of new BAS has not contributed to its decrease

Optische Antennen aus Al und Au: Anregungskonzepte und Einfluss der Oxidation

Optische Antennen sind metallische Nanostrukturen, deren resonantes Verhalten gezielt beeinflusst werden kann. In dieser Arbeit werden optische Antennen aus Aluminium und Gold hergestellt, optisch charakterisiert sowie numerisch unter Verwendung der FDTD-Methode untersucht. Aluminium erlaubt Resonanzen bis ins UV, bildet jedoch eine Oxidschicht, welche die Antennenantwort modifiziert. Die Ergebnisse der lokalen elektrischen Anregung nanoplasmonischer Strukturen werden erstmals vorgestellt

Optische Antennen aus Al und Au: Anregungskonzepte und Einfluss der Oxidation

Optical antennas are metallic nanostructures showing a resonant behaviour which can be tuned at wish. In this work, optical antennas from aluminum and gold are fabricated, optically characterized and investigated numerically by FDTD methods. Aluminum allows resonances in the UV while it forms an oxide layer in air which alters the antenna response. For the first time, the results from a local electrial excitation of nanoplasmonic structures via STM is presented