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Monthly Archives: January 2018
Vast amounts of data are collected every day from all aspects of people’s lives. The recent field of network science aims to tackle the sheer amount of information gathered to provide insights on our health and better understand biomedical processes. Applied Network Science will collect the most recent developments of the field in a new thematic series on Network Medicine in the era of Big Data in Science and Healthcare, guest edited by Emre Guney, Marc Santolini and Amitabh Sharma.
The infernal business of contract cheating: the processes and models of academic custom writing sites
Contract cheating is a growing concern in education and academia in general. One small part of the contract cheating industry are Academic Custom Writing websites, which so far have been poorly understood, and the usage of which is very hard to detect. Yet although it seems nearly impossible to see behind the websites and business model of these companies, a new article published in International Journal for Educational Integrity explains how these websites function, and by extension what can be done to detect and prevent this kind of contract cheating.
The classification of crime into discrete categories entails a massive loss of information, and singular crime labels often fail to capture the full complexity of individual criminal acts. This could be improved by using machine learning methods. In a new research article published in Crime Science, Jeffrey Brantingham et al. explain how the language used to describe a crime can be analyzed to better classify said crime, and thereby utilized to improve crime-prevention long-term.
Despite five decades of research and discoveries in psychiatry, the results have not always met the expectations. Outcomes are still poor in a number of disorders, including schizophrenia, anxiety, and depression. In a new article published in Philosophy, Ethics, and Humanities in Medicine, Charles Dean explores the complex relationship between failures in psychiatry, the concept of disease in mental health, research funding, and the rise of socioeconomic inequality.
Although cancer is one of the most studied illnesses, little research has been dedicated to the study of tumor locations in the body. However, statistics indicate that the location of tumors is not necessarily coincidental, and that there may be microenvironmental factors that influence the spatial aspect. A new study published in Cancer Convergence focuses on said spatial aspect and tries to explain why it could be that certain kinds of tumors frequently appear in specific areas of the body.
Despite the increasing effectiveness of breast cancer treatments over the last 50 years, tumors often become resistent to the drugs used. While drug combinations could be part of the solution to this problem, their development is very challenging. In this blog post Jorge Zanudo explains how it is possible to combine physical and mathemathical models with clinical and biological data to determine which drug combinations would be most effective in breast cancer therapy.
In honor of Isaac Asimov’s birthday, some thoughts about the fictional science of psychohistory, and how the later discovery of chaos, complexity, and emergent phenomena changed our understanding.