Kumba Sennaar

Kumba is an AI Analyst at Emerj, covering financial services and healthcare AI trends. She has performed research through the National Institutes of Health (NIH), is an honors graduate of Rensselaer Polytechnic Institute and a Master’s candidate in Biotechnology at Johns Hopkins University.

Articles by Kumba

30 articles
AI and Machine Learning for Clinical Trials - Examining X Current Applications

AI and Machine Learning for Clinical Trials – Examining 3 Current Applications

The clinical trial is a foundational pillar of the pharmaceutical drug discovery process. Essentially, clinical trials are research studies which seek to determine if a medical treatment or device is safe and effective for humans. While the pharmaceutical drug industry has experienced some fluctuations it remains a profitable market. Global prescription drug expenditures are estimated to reach nearly $1.5 trillion by 2021 according to Quintiles IMS Holding.  

AI for Virtual Medical Assistants - 4 Current Applications 1

AI for Virtual Medical Assistants – 4 Current Applications

Virtual assistants operating in response to voice or text interactions have steadily gained traction and formed a profitable sector, according to Research and Markets. The market research firm projects that total revenue will hit $15.8 billion in 2021 up from $1.6 billion in 2015. The firm also estimates that total global consumers will reach 1.8 billion by 2021.

Artificial intelligence in Health Insurance - Current Applications and Trends

Artificial intelligence in Health Insurance – Current Applications and Trends

Health insurance is a critical component of the healthcare industry with private health insurance expenditures alone estimated at $1.1 billion in 2016, according to the latest data available from the Centers for Medicare and Medicaid Services. This figure represents 34 percent of the 2016 National Health Expenditure at $3.3 trillion.  

Data Mining Medical Records with Machine Learning - 5 Current Applications

Data Mining Medical Records with Machine Learning – 5 Current Applications

According to data from the U.S. Department of Health and Human Services, the progress of the value-based healthcare delivery system in the U.S. — a provider payment model based on patient outcomes — has run almost parallel to the significant implementation rate of electronic health records/electronic medical records (EHR/EMR).

Cybersecurity in Healthcare - Comparing 5 AI-based Vendor Offerings

Cybersecurity in Healthcare – Comparing 5 AI-based Vendor Offerings

The healthcare industry is evolving into an increasingly digital environment, and as a result cybersecurity continues to be a top priority for protecting sensitive data such as financial records and patient medical records.

Applications of Machine Vision in Heavy Industry 1

Artificial Intelligence and the Opioid Epidemic – Applications for Relapse Treatment, Abuse Prevention, and More

The opioid overdose crisis continues to maintain a strong grip on the nation. According to the National Institute on Drug Abuse (NIDA), the epidemic claims more than 115 lives in the United States every day.

AI for Hearing Loss - Tech Advances in Hearing Aids, Predicting Hearing Loss, and Improving Quality of Life for the Hearing Impaired

AI for Hearing Loss – Tech Advances in Hearing Aids, Predicting Hearing Loss, and More

Hearing loss is a condition affecting an estimated 48 million individuals in the U.S. While the degree of severity may vary across age groups, the Hearing Loss Association of America reports that hearing loss ranks third after arthritis and heart disease among the most common physical ailments.

Machine Learning for Dermatology 4

Machine Learning for Dermatology – 5 Current Applications

Dermatology is defined as a branch of medicine primarily focused on the evaluation and treatment of skin disorders, including hair and nails. Market research firm BCC Research projects that the global market for skin disease treatment technologies will reach $20.4 billion in 2020. Based on $17.1 billion in market revenue in 2015, this anticipated increase represents a five-year compound annual growth rate (CAGR) of 3.6 percent.

Chatbots for Healthcare

Chatbots for Healthcare – Comparing 5 Current Applications

Chatbots are gradually being adopted into the healthcare industry and are generally in the early phases of implementation. Market research firm Grand View Research estimates that the global chatbot market will reach $1.23 billion by 2025. This projected growth reflects a compounded annual growth rate (CAGR) of 24.3 percent.

AI for Managing Chronic Kidney Disease

AI Applications for Managing Chronic Kidney Disease

Chronic Kidney Disease (CKD) affects approximately 1 in 7 adults or an estimated 30 million Americans. CKD is characterized by kidney damage which impedes proper filtration of the blood. As a result, other health problems may occur due to excess fluid and waste in the body. According to the American Society of Nephrology, annual health care costs associated with treating kidney (renal) failure are estimated at over 32 billion.

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