Research shows that drug-related events account for up to 50% of adverse events occurring in hospital stays each year. This significantly increases costs and length of stay in hospitals. Also about one fourth of the adverse drug reactions are drug-drug reactions occurring as a result of concomitant use – meaning – taking multiple pills at the same time. Electronic medical records (EMR) are a rich source of clinical information to scan medical events such as adverse reactions – in other words – to aid pharmacovigilance. Pic courtesy: http://www.pharmatips.in   However EMR’s/clinical notes ..read more

Clinical trials data is increasing in complexity as well as in volume day by day. Researchers are collecting a variety of data in form of text, numbers, images, voice recordings, video recordings, tapping speed, range of motion and many more in their search for new life saving treatments. Take for example the All of US Precision Medicine Initiative. This project aims to gather data on individual differences in lifestyle, environment, and biology  from 1 million Americans to accelerate precision medicine work answer some basic questions about human life. With limited time and limited capab ..read more

Of the many subsets of healthcare, nowhere will you find more exuberance over AI’s emergence, than in drug development. Courted by its lofty promise to solve pharma’s top two challenges, AI can potentially shorten the drug development pipeline and cut expenses by over 50%. Biopharma, known for massive operational costs to bring a drug to market is about to get a radical makeover, and CEOs are on the frontlines of the AI phenomenon.   But can AI deliver on its promises to drug developers? Most likely, but a monumental problem with potentially catastrophic consequences, lurks behind the sce ..read more

  DIA 2018 just ended last week. We showcased our featured product Applied ML – a cutting edge Machine Learning solution for working with clinical trials data…     …and that is our CEO Dr. Sharib Khan on the screen demonstrating one of the fun computer vision feature that recognises people’s faces, predicts their age and gender then matches to a celebrity.     The demo was a huge hit! Folks gathered at our booth # 2705 to check out their celeb match and invited their friends who then got their friends.     We were excited but not too surprised to lea ..read more

Men don’t like to talk about their sexual health and activities but they sure do have many questions related to it that they are not sure where to get answers from. Also many young men need more information and counseling on their sexual behavior so they can prevent pregnancy. The new study app developed by the tech team named MIGHTY (Motivational Interviewing For Getting Healthy Today), is part of a behavioral study designed by Columbia University to help young men reach their health goals when used together with motivational interviewing sessions provided by a trained coach.  MIGH ..read more

  Applied Informatics Inc. will be at the DIA 2018 to be held between June 24-28 in Boston. We will be at booth #2705 showcasing our cutting edge Machine Learning capabilities for clinical trials data. Machine Learning applications have the potential to increase efficiency research and development in the healthcare sector. According to a report by McKinsey, big data and machine learning in pharma and medicine could generate a value of up to $100B annually, by contributing to better decision-making, improved enrolment in clinical trials, and creation of new tool for physicians a ..read more

At Applied Informatics, we have a team of developers we are proud of! Our incredible dev team rocked last year and is all set to do the same this year! Last year they worked tirelessly towards various ResearchKit based projects, one of which was Phendo App developed in collaboration with Columbia University researchers. And thanks to Researchdroid – the Android port to ResearchKit they developed – Android users can also now track and contribute their endometriosis signs and symptoms data to Phendo. This ResearchKit based observational study app that aims to collect real-time symptoms of ..read more

Finger Tapping Active Task on Android The ResearchKit framework includes a number of predefined tasks called Active Tasks. Active tasks invite users to perform activities under partially controlled conditions while phone sensors are used to collect data. For example, an active task for analyzing gait and balance might ask the user to walk a short distance, while collecting accelerometer data on the device. The ResearchDroid team at Applied, has ported all the fourteen active tasks to Android. The active tasks have been implemented as one of the key functionalities of ResearchDroid. Active ..read more

This is the age of collaboration, the age of Blockchain. Blockchains in healthcare have wide applications, stretching from medical record interoperability, drug discovery, data security, to the development of personalized (or precision) medicine. They represent another dimension to disruptive digital health technology. According to new analysis report from CB Insights, blockchain technology is set to transform healthcare. What are blockchains and how does the blockchain technology work? Blockchain is a permanent record of online transactions. Started in 2009, it was the foundation for tradi ..read more

Patient recruitment and engagement has always been a challenge where clinical trials are concerned. This is where the growing use of apps to support clinical trials is changing things, not only in decreasing drop-out rates, but also improving the capturing and reporting of outcome data. The development of CareKit and ResearchKit by Apple and ResearchDroid by Applied Informatics, helped engineers create apps that supported life sciences and clinical trials. These apps allowed researchers to track clinical trial participants, their progress and collect data. ResearchKit, Apples’ Game Changing ..read more