ℍ𝕚, 𝕟𝕚𝕔𝕖 𝕥𝕠 𝕞𝕖𝕖𝕥 𝕪𝕠𝕦!

Alzheimer’s disease (AD), a complex neurodegenerative disorder affecting millions globally, presents diagnostic and treatment challenges due to its heterogeneous nature. This study targets the identification of homogeneous AD subtypes with unique clinical and pathological characteristics to overcome these issues. Using an innovative approach with unsupervised clustering, the multi-kernel similarity learning framework SIMLR, and graph diffusion, we analyzed MRI-derived cortical thickness measurements in 829 patients with AD and mild cognitive impairment (MCI). The unique clustering methodology we used, untested in AD subtyping before, outperformed traditional clustering methods, notably mitigating noise interference in subtype detection. Five distinctive subtypes emerged, differing significantly in biomarkers, cognitive status, and other clinical features. A subsequent genetic association study validated these subtypes, uncovering potential genetic connections. Read more

In the era of big data, we are increasingly faced with the challenges of converting massive amounts of data to actionable knowledge. Given the limits of individual machines (compute power, memory, bandwidth), increasingly the solution is to clean, integrate, and process the data using statistical machine learning techniques, in parallel on many machines. This course focuses on the fundamentals of scaling computation to handle common data analytics tasks. You will learn about basic tasks in collecting, wrangling, and structuring data; programming models for performing certain kinds of computation in a scalable way across many compute nodes; common approaches to converting algorithms to such programming models; standard toolkits for data analysis consisting of a wide variety of primitives; and popular distributed frameworks for analytics tasks such as filtering, graph analysis, clustering, and classification. Read more

爱自己，是终身浪漫的开始。 Read more

With the rapid growth of urbanization, green spaces in the form of parks, gardens, and other open areas are extremely important for improving the quality of life for those who live in urban areas. As polluted air and water and overcrowded cities become our everyday lives, the physical and mental health of urban communities has undoubtedly gained increasing attention in recent years. Not surprisingly, green spaces are coming to the rescue. Cancel changes Open spaces such as parks benefit communities by providing a cleaner environment to protect public health such as a reducing in the urban heat island effect and improving air quality. They can also have an impact on social health by contributing to increase community cohesion and wellbeing, and increased property values, among other positive environmental, social, and financial outcomes. As a result, the supply of green space and the ease with which it can be accessed are key concerns in urban planning and policy-making. Read more