Multilingual NLP for clinical text: impacting healthcare with big data globally

August 24 2019

With the widespread adoption of electronic medical records (EMRs) and recent advances in machine learning, natural language processing has come to the forefront in clinical AI. Despite the challenges of working with unstructured text, doctors’ notes and other clinical text contains some of the richest information about a patient. Droice presented real-world use cases of NLP-powered solutions in several languages built by leveraging massive repositories of clinical text to help clinicians make better decisions for individual patients.

Impacting Healthcare with Big Data, Globally

05.24.2019

Drawing inspiration from machine learning and digital logic synthesis, we built a genetic circuit design automation platform, Cello. Cello has aided in the design of some of the most complex genetic circuitry to date.

Interview with Grow with Tech Magazine

May 3 2019

We firmly believe that good quality healthcare should be accessible to everyone. What keeps us going is the number of human lives we affect every day & the number of lives we can affect in the future. Every small successful step Droice takes saves millions of dollars in healthcare & improves the lives of thousands of physicians and patients.

AI: The hope for Indian healthcare sector?

April 29 2019

India is one of the largest countries in the world and has the most room for innovative, sustainable, and scalable healthcare technologies to improve lives. why?

Deep Learning vs. Machine Learning for EHR & Using AI for Rare diseases

March 22, 2019

In the March meeting in CHOC Children’s CA, Tasha Nagamine spoke on what Deep learning, Machine learning, its differences and how they can be used for creating various applications in the EHR and healthcare in general.

Using AI for Rare diseases

March 22 2019

In the USA, the FDA defines a rare disease as any disease that affects fewer than 200,000 Americans. It is estimated that 350 million people suffer from rare diseases worldwide. Mayur gave a talk on using AI to find rare disease. He spoke about how AI makes it possible to find rare diseases using AI on unstructured data. He also spoke about how Droice technology makes it possible to identify these rare disease patient cohorts.

Lookback at HIMSS’19

February 26 2019

Champions of health, it was great to unite at #HIMSS19 to improve health using technology! For those of you not familiar with the event, it is a behemoth of healthcare IT conferences where you can connect with a wide variety of people from across the industry. After a non-stop week, it is now fantastic to reflect back on how great it was to meet so many people over the course of the conference.

Rework : Houston

November 30 2018

At Droice, we use artificial intelligence to help clinicians make better decisions for individual patients. What treatment should a patient be given? Are there any potential complications? What tests need to be done? All of these (and many more) are examples of difficult, data-intensive questions that doctors must answer every day.

What are Biologics and Biosimilars and Why Should I Care?

October 22 2018

Patients on biologics and biosimilars present new challenges for emergency patient care. Complex critical patients require rapid access to useful data for complete care