Tandem mass spectrometry is a powerful analytical tool used to characterize complex mixtures in drug discovery and other fields.
Now, Purdue University innovators have created a new method of applying machine learning concepts to the tandem mass spectrometry process to improve the flow of information in the development of new drugs. Their work is published in Chemical Science.
“Mass spectrometry plays an integral role in drug discovery and development,” said Gaurav Chopra, an assistant professor of analytical and physical chemistry in Purdue’s College of Science. “The specific implementation of bootstrapped machine learning with a small amount of positive and negative training data presented here will pave the way for becoming mainstream in day-to-day activities of automating characterization of compounds by chemists.”
Chopra said there are two major problems in the field of machine learning used for chemical sciences. Methods used do not provide chemical understanding
Sequencing RNA from individual cells can reveal a great deal of information about what those cells are doing in the body. MIT researchers have now greatly boosted the amount of information gleaned from each of those cells, by modifying the commonly used Seq-Well technique.
With their new approach, the MIT team could extract 10 times as much information from each cell in a sample. This increase should enable scientists to learn much more about the genes that are expressed in each cell, and help them to discover subtle but critical differences between healthy and dysfunctional cells.
“It’s become clear that these technologies have transformative potential for understanding complex biological systems. If we look across a range of different datasets, we can really understand the landscape of health and disease, and that can give us information as to what therapeutic strategies we might employ,” says Alex K. Shalek, an associate professor
Passive data from smartphones—including movement, ambient sound and sleep patterns—can help predict episodes of schizophrenic relapse, according to new Cornell Tech research.
Two papers from the lab of Tanzeem Choudhury, professor of integrated health and technology at Cornell Tech, examined how smartphone data can predict patients’ own self-assessments of their condition, as well as changes in their behavior patterns in the 30 days leading to a relapse.
Early prediction of schizophrenic relapses—potentially dangerous episodes which may involve hallucinations, fears of harm, depression or withdrawal—could prevent hospitalizations, in addition to providing clinicians and patients with valuable information that could improve and personalize their care.
“The goal of this work was to predict digital indicators that are early warning signs of relapse, but these symptoms or changes can be very, very different from one individual to another,” said Dan Adler, doctoral student at Cornell Tech and first author of “Predicting Early Warning
The success of high-speed air-to-air combat engagement accelerated flight into enemy fire against air-defenses, aerial surveillance missions, and precision-strikes on enemy ground targets of course rest upon a pilot’s ability to know a plane’s exact location, movement patterns and angle of attack.
This kind of combat operation is often heavily interwoven with, or even reliant upon, “secured” navigational systems such as GPS and Inertial navigational technologies. GPS, while ubiquitous and critical to military operations, is also known to in some cases be vulnerable to hacking, jamming and various kinds of enemy intrusion. The risk of having combat maneuvers and tactics compromised is therefore significant, a circumstance that continues to inspire widespread Pentagon efforts to both “harden” GPS and establish supplemental and alternative guidance systems.
An emerging, shoe-box size navigation capability is being developed to address these challenges and vastly improve and strengthen what’s known as positioning, navigation and timing (PNT)
(Bloomberg) — One Chinese app briefly gave the country’s internet users access to long-banned websites like Facebook Inc. and Google, setting off speculation about the future of Beijing’s censorship practices.
The Tuber browser, backed by Chinese cybersecurity giant 360 Security Technology Inc., appeared to provide the nation’s 904 million online users the ability to legally visit overseas websites and browse foreign social media. Chinese users hailed their newfound ability to peruse content from Youtube videos to Instagram photos without
Come Oct. 13and 14, Amazon’s annual two-day members-only online sales extravaganza Prime Day will bring customers over one million deals on myriad products in popular categories including home accessories, toys, and electronics. But in addition to providing shoppers with steep savings starting at midnight PST on Tuesday, the popular sales promotion will also offer thousands of small businesses opportunities to quickly scale customer awareness and revenue.
Currently, more than 500,000 small and medium-sized businesses in the U.S. sell on Amazon, and the company’s goal is to onboard an additional 100,000 vendors as new sellers to its store. Despite the ongoing pandemic, third-party sellers continue to crowd its virtual aisles, and presently account for over half of all units sold via the online retailer. In the 12-month period ending in May alone, American SMB sellers sold more than 3.4 billion products, up from
River systems are essential resources for everything from drinking water supply to power generation — but these systems are also hydrologically complex, and it is not always clear how water flow data from various monitoring points relates to any specific piece of infrastructure. Researchers from Cornell University and North Carolina State University have now developed a tool that draws from multiple databases to give water resource managers and infrastructure users the information they need to make informed decisions about water use on river networks.
“A streamgage tells you what the water level is at a specific point in the river — but that’s not really enough information,” says Sankar Arumugam, co-author of a paper on the work and a professor of civil engineering at NC State. “If you are an infrastructure operator, what you really need to know is how long it will take for that water-level information to be
TOLEDO, Ohio (WTVG) – An amazing piece of technology has opened up a whole new world for a Williams County man. eSight glasses use a camera, a computer, high definition video and OLED screens to help people see. Benjamin Murray got his first pair four years ago. He received the latest version this week, and it’s all because of the generosity of a lot of people.
Benjamin was legally blind when he was born. His newest eSight glasses have opened up a whole new world for him on his family’s farm in Bryan.
“For 26 years of my life, I was living in the shadows,” says Murray.
And then along came eSight. “I am blown away by this technology, yet again. It helps me do just about anything I want to,”
Content Platform Provider Supports eReader capabilities for Cengage Unlimited’s library of 14,000 eTextbooks
Gutenberg Technology (GT), provider of the premier end-to-end content management platform, today announced its partnership with Cengage, an education and technology company and the largest US-based provider of teaching and learning materials for higher education, to bring eTextbooks and study tools to millions of college students across the U.S. GT’s publishing platform, has aided Cengage in rapidly bringing its content library to market, hosting more than 14,000 eTextbooks that are available to Cengage subscribers.
Through this partnership, GT helps support the content engine behind several product offerings within Cengage Unlimited, the first all-access subscription service for the college textbook and course materials market, which has helped more than 2.2 million college students save more than $200 million on textbooks and course materials. Cengage leverages the power of GT’s authoring tool to transform static text, media, and assessments
LONDON, Oct. 08, 2020 (GLOBE NEWSWIRE) — Rackspace Technology ™ (NASDAQ: RXT), the multicloud solutions provider, has today announced that its management of Relay42’s Amazon Web Services (AWS) IT infrastructure is supporting the AI-driven data business to deliver up to 500,000 personalised customer data events per second.
Dutch-headquartered Relay42 turns data into meaningful relationships customers including Air France-KLM, Heineken, Mazda and FedEx. Speed, latency and security are fundamental components in data marketing, all of which AWS provides in its underlying infrastructure, helping Relay42 meet its business objectives of delivering personalised messages and experiences to end users in a matter of seconds.
Rackspace Technology also optimised Relay42’s cloud spend via CloudHealth, which identified cost savings of $8,000 per month in the initial months of the pandemic with zero impact on performance.
The global footprint of Rackspace Technology is enabling Relay42’s global expansion plans as it aims to double the size of