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Coronavirus - COVID-19 - AI and Big Data for containment, diagnostic and treatment

COVID-19: AI and Big Data for Treatment, Containment, and Flattening the Curve

As of March 31, there are 857,487 confirmed coronavirus cases and 42,107 deaths globally. On March 27, the U.S. became the official epicenter of the disease, with confirmed tallies surpassing Italy, Spain, and China. Currently, countries’ ongoing lockdowns follow Wuhan, China’s strict measures during the early outbreak, which have only now begun to ease amidst a slowing spread, according to reports.

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Role of AI in Patient Adherence

The Role AI Is Playing In Healthcare Patient Adherence

As per a systemic review1 published in Annals of Internal Medicine, assessing the impact of interventions to improve adherence, it was found that about half the medications prescribed for chronic diseases are not consumed as directed by the physician, and around 20-30% of prescriptions are never fulfilled. This non-adherence results in over 125,000 deaths every year as well as increased emergency department visits and hospitalizations, which costs the American healthcare system to the tune of $100 to $300 billion1.

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How Healthcare AI Chatbots Are Transforming the Patient Journey

How Healthcare AI Chatbots Are Transforming the Patient Journey

“Hi Caroline, this is Jeff! You reported feeling heavily symptomatic yesterday. I wanted to see if you are doing better. On a scale from 1-10, how would you rate your pain today?”

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Enabling AI in companies, The Jack Welch way!

Today more than any other day, having started my career in a GE company (the erstwhile GE Capital International Services), I have this involuntary urge to pay my tribute to “Neutron Jack” in my small and perhaps largely insignificant way. But yet, I must, as the words come out, “Straight from the Gut” for the big man, who has left an indelible mark on every individual that he has remotely touched through his rich legacy, leadership, and philosophy.

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Three Rare Disease Diagnoses Opportunities For AI and Machine Learning

Three Rare Disease Diagnoses Opportunities For AI and Machine Learning

The world of health and medicine has broken countless barriers over the last few scores. Life sciences companies have continued to invest significantly in their research of globally corroding diseases, drug molecules discovery and development, and closely monitored clinical trials, to create industry-approved blockbuster medicines. These drugs, gaining precision with time, are curing more diseases and giving patients a chance at better lives. The pharma journey, however, gets complicated with more in-depth clinical and genetic research, as companies continue to find themselves facing more significant ‘unknowns’ than ever before.

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Life Sciences Tech Trends 2020

2020 Emerging Technology Trends in the Life Sciences Industry

The life sciences industry has always been propelled by research and innovation, more now than ever, with breakthrough drug development, massive investments to expedite drug launches, and opportunities for medical advancements. To put this into perspective, let’s consider the clinical development trends for the last ten years. There were more than 16,0001 assets in clinical development in 2019, and almost 1,7002 investigational new drug applications (INDs) were filed, up from 9,700 drugs in clinical development, and 1,300 INDs filed in 20103. Along with substantial investments in drug discovery and research and development, life sciences companies are also transforming in the areas of data management, business intelligence, and analytical capabilities by adopting digital transformation, artificial intelligence (AI), machine learning (ML), NLP (Natural Processing Language), and most pertinently, automation.

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Two of the Great Learning Opportunities at PMSA 2019: Axtria’s Pre-Conference Tutorial and the PMSA Panel Discussion

In addition to Axtria’s presentations and posters (mentioned in our first blog on Write the Future of Analytics with Axtria at PMSA 2019), Axtria is also leading one of the pre-conference tutorial sessions and participating in the conference panel discussion.

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EHR EMR Data

How Machine Learning and NLP Can Help Make Sense of EMR and EHR data?

As a follow-up to our first Pharmaceutical Management Science Association (PMSA) blog on Axtria’s participation in PMSA’s 2018 Annual Conference, we would now like to draw your attention to the thought-leading presentation we have planned for April 30th.

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