Data pooled from all 38 studies showed no significant association between progression-free survival and quality of life. Cancer drugs that keep tumors from growing may not lead to better quality of life for patients, a new study suggests. "In countries where patients need to pay co-pays, they can use up all their savings in order to get access to those expensive new drugs and in the end, they may not extend their lives or improve their quality of life," Feng Xie, a professor of health economics at McMaster University, told Reuters Health. They found that "progression-free survival," or the length of time doctors could keep the cancer under control, was not linked with health-related quality of life. These days, cancer researchers and drug companies often use progression-free survival as a measure of a new drug's effectiveness, Xie explained by phone.
Since the dawn of time, man has been using analytical reasoning and procured data to enhance his business. Take the example of the farmer, who plans his crop cycles on assumptions that are based on observations made, or what we may call now as data collected on the basis of the monsoon season and seed quality of the last few years. Thinking about the heat during the summer, the humidity, the procurement of good quality seeds, crop selection, soil quality, and assumptions of the rainfall put thoughts into the head and help them predict the coming period's harvest. Well what if he could even predict the sales of his harvested crops and the re-investments he can make for seeds and better quality manure, thus growing his business a step further? As time went buy, business evolved, data grew qualitatively and quantitatively, and the standards of measuring them have blown off the roof.
The microscope is mainly used for imaging applications to analyze terabytes of data per day. These applications can profit by late advances in computer vision and profound learning. Now, in collaboration with robotic microscopy applications, Google engineers have assembled high-quality image datasets that separate signal from noise. In "Assessing Microscope Image Focus Quality with Deep Learning", researchers trained a deep neural network to rate the focus quality of microscopy images with higher accuracy than previous methods. They added the pre-trained TensorFlow model with plugins in Fiji (ImageJ) and CellProfiler, two leading open source scientific image analysis tools to use with the graphical user interface or invoked via scripts.
One of the common questions we get asked is: "Why do we need machine learning to improve streaming quality?" This is a really important question, especially given the recent hype around machine learning and AI which can lead to instances where we have a "solution in search of a problem." In this blog post, we describe some of the technical challenges we face for video streaming at Netflix and how statistical models and machine learning techniques can help overcome these challenges. Well over half of those members live outside the United States, where there is a great opportunity to grow and bring Netflix to more consumers. Providing a quality streaming experience for this global audience is an immense technical challenge.