The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international teams at predicting the future trajectory of 219 individuals at risk of Alzheimer's disease. Challenge participants were required to make a prediction, for each month of a 5-year future time period, of three key outcomes: clinical diagnosis, Alzheimer's Disease Assessment Scale Cognitive Subdomain (ADAS-Cog13), and total volume of the ventricles. No single submission was best at predicting all three outcomes. For clinical diagnosis and ventricle volume prediction, the best algorithms strongly outperform simple baselines in predictive ability. However, for ADAS-Cog13 no single submitted prediction method was significantly better than random guessing. Two ensemble methods based on taking the mean and median over all predictions, obtained top scores on almost all tasks. Better than average performance at diagnosis prediction was generally associated with the additional inclusion of features from cerebrospinal fluid (CSF) samples and diffusion tensor imaging (DTI). On the other hand, better performance at ventricle volume prediction was associated with inclusion of summary statistics, such as patient-specific biomarker trends. The submission system remains open via the website https://tadpole.grand-challenge.org, while code for submissions is being collated by TADPOLE SHARE: https://tadpole-share.github.io/. Our work suggests that current prediction algorithms are accurate for biomarkers related to clinical diagnosis and ventricle volume, opening up the possibility of cohort refinement in clinical trials for Alzheimer's disease

Influência da adição de níquel na síntese do SrSnO3 Influence of nickel doping on the SrSnO3 synthesis

Pós cerâmicos microestruturados de Sr1-xNi xSnO3 (x de 0 a 0,20) foram sintetizados com sucesso pelo método dos precursores poliméricos. Os precursores foram caracterizados por análise térmica. Três etapas de decomposição foram observadas: a primeira relacionada com o processo de desidratação, a segunda e a terceira são processos de combustão da matéria orgânica. A caracterização estrutural foi feita por difração de raios X, espectrofotometria de absorção óptica no infravermelho e espectroscopia Raman após calcinação a 700 ºC, indicando a presença da fase SrSnO3 ortorrômbica. Quando níquel II foi adicionado na rede cristalina do estanato, foi observada uma transição de fase, conduzindo a uma nova estrutura pseudo-cúbica. Com base nos resultados de Raman e difração de raios X, foi analisada a ordem-desordem a curto e longo alcance. Os resultados experimentais mostram a formação de fases secundárias quando níquel II é adicionado na matriz, com calcinação a 700 ºC.<br>Sr1-xNi xSnO3 (x from 0 to 0.20) powders were synthesized by the polymeric precursor method. The powder precursors were characterized by thermal analysis. Three decomposition steps were observed: the first step related to the dehydration process, the second and third ones assigned to combustion processes. The structural characterization was done by X-ray diffraction (XRD), infrared absorption spectroscopy and Raman spectroscopy after calcination at 700 °C, indicating the presence of orthorhombic SrSnO3. When nickel is added to the structure, a phase transition is observed, leading to the presence of a pseudo-cubic phase. Based on Raman and XRD results, the order-disorder at short and long range were analyzed. The experimental results show the formation of a secondary phase when nickel is added to the material and calcined at 700 ºC