Search-Engine Data Gives Early Warnings of Drug Side Effects

AITopics Original Links

Analyzing queries made to Google, Bing, and other search engines can reveal the potentially dangerous consequences of mixing prescriptions before they are known to the Food and Drug Administration (FDA), according to a new study. Such data mining could even expose medical risks that slip through clinical trials undetected. Pharmaceuticals often have side effects that go unnoticed until they're already available to the public. This is especially true of side effects that emerge when two drugs interact, largely because drug trials try to pinpoint the effects of one drug at a time. Physicians have a few ways to hunt for these hidden risks, such as reports to FDA from doctors, nurses, and patients.


Is it normal down there?

FOX News

It's the thing no one wants to talk about but everyone is Googling. No, really: "Vaginal discharge" is searched more than 50,000 times per month worldwide according to Buzz Sumo, a keyword search engine. Everyone is wondering about this, so don't worry. I had a friend just the other day ask me if having regular discharge was normal. "I actually just cannot stay dry," she informed me.


ExpertFile COVID-19 Search Engine Connects Journalists, Experts

#artificialintelligence

Curated Online Resource Puts Journalists a Click Away From Hundreds of Healthcare, Economic, Industry and Social Science Experts for Quick and Reliable Sources on the Current Coronavirus Pandemic. In response to unprecedented demand for expert sources and fact-based insights during the COVID-19 pandemic, ExpertFile has launched the COVID-19 Experts Search Engine, a specialized online resource designed to help newsrooms around the world;access reliable experts to speak on a variety of topics related to the coronavirus. With millions affected worldwide by the COVID-19 pandemic, the dangers of misinformation and factual inaccuracy pose a potentially devastating impact on society. As the largest curated, open-access search engine of international expert sources, ExpertFile worked quickly and in close consultation with its members -- including healthcare professionals, university academics, NGO's, corporations, industry associations and journalists -- to build the COVID-19 Experts Search Engine. "Facts matter more than opinions when real lives are at stake. We understand that journalists need evidence-based information, and they need it quickly," said Peter Evans, Co-Founder & CEO of ExpertFile.


The scary, intrusive thoughts you can only confess to a search engine

Mashable

Most people have experienced an intrusive thought even if they can't put a name to it. These unwelcome flashes of imagination force us to consider horrible scenarios. A new mother might envision dropping her child several stories; a pedestrian might picture hurling himself in front of an oncoming car; a devout person might see herself blaspheming god. Intrusive thoughts, say experts, have no bearing on a person's intentions or moral character. Rather, they are the product of the brain's constant motion -- sometimes what it produces is inexplicably terrifying.


A Knowledge-Based Approach to Organizing Retrieved Documents

AAAI Conferences

When people use computer-based tools to find answers to general questions, they often are faced with a daunting list of search results or "hits" returned by the search engine. Many search tools address this problem by helping users to make their searches more specific. However, when dozens or hundreds of documents are relevant to their question, users need tools that help them to explore and to understand their search results, rather than ones that eliminate a portion of those results. In this paper, we present DynaCat, a tool that dynamically categorizes search results into a hierarchical organization by using knowledge of important kinds of queries and a model of the domain terminology. Results from our evaluation show that DynaCat helps users find answers to those important types of questions more quickly and easily than when they use a relevance-ranking system or a clustering system.