AI in Healthcare News and Updates

Our monthly report on AI, ML, DL, and NLP in healthcare looks at who, what, where, and how the use of artificial intelligence is changing healthcare for the better. We will bring you some of the latest news and product information along with thought leader posts and our AI playlist of episodes from Healthcare NOW Radio.

In the News

Tempus Announces the GEMINI Non-Small Cell Lung Cancer Study
Tempus (@TempusLabs), an artificial intelligence and precision medicine company, announces its GEMINI Non-small Cell Lung Cancer (NSCLC) study (NCT05236114). The Tempus-sponsored study, being run in collaboration with AstraZeneca, aims to create a robust multi-omic dataset for patients with NSCLC to facilitate future novel research related to precision medicine, diagnostic development, and biomarker discovery.

IQVIA Wins Prestigious “Best AI-based Solution for Healthcare” Award in 2023 Artificial Intelligence Breakthrough Awards
IQVIA™ (@IQVIA_global), a global provider of advanced analytics, technology solutions, and clinical research services to the life science industry, announced that it has been selected as winner of the “Best AI-based Solution for Healthcare” award in the sixth annual AI Breakthrough Awards, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today.

Hastings Center partners on AI project led by National Academies
The National Academy of Medicine (NAM) (@theNAMedicine) is partnering with a group of leading health, bioethics, equity, tech, patient advocacy, and research organizations, including The Hastings Center (@hastingscenter), to develop an Artificial Intelligence Code of Conduct (AICC).

Mediwhale Wins AstraZeneca’s CKD Challenge for Innovative AI Diagnostic Solution Using Retina
Mediwhale, a South Korean startup, has emerged as the winner of the ‘CKD Challenge’ organized by AstraZeneca (@AstraZeneca) with the collaboration of Wayra, Telefónica’s innovation hub. The challenge, aimed at fostering the innovation ecosystem, was launched to develop innovative technological solutions to reduce the burden of chronic kidney disease (CKD), a severe, progressive, and unknown disease that affects 15% of the Spanish population.

Lenovo Grows AI Infrastructure Revenue to Over US$2 Billion and Brings AI to the Data with Industry’s Most Comprehensive Portfolio
Lenovo (@Lenovo) announced it has reached record annual AI infrastructure revenue of over US$2 billion and unveiled the next phase of its growth strategy, with an additional US$1 billion investment over three years to accelerate artificial intelligence (AI) deployment for businesses around the world.


Healthcasts Introduces ConsensusAI, the First AI-Powered, Real-Time Patient Consultation Tool for Healthcare Professionals
HCTG (@HealthcastsMDIA), a healthcare communications-technology company, announced that it has launched ConsensusAI, which helps clinicians expedite medical delivery-of-care decisions when leveraging the Healthcasts platform. Powered by proprietary artificial intelligence (AI), generated by Healthcasts’ HCP-member network, ConsensusAI analyzes hundreds of thousands of clinical consultations in real time, providing immediate access to key insights that help support improved patient diagnoses and enhanced treatment selection.

BPGbio Announces Partnership with Grupo Terralpe to Offer Groundbreaking AI-Discovered Prostate Cancer Diagnostic Test in Mexico
BPGbio, Inc., an AI-powered biopharma that focuses on oncology, neurology and rare diseases, announced that it has signed a collaborative agreement with Grupo Terralpe, Inc., a renowned private investment group based in Mexico City and Boston, Mass. Together, the companies will commercialize the pstateDx™ test, BPGbio’s prostate cancer diagnostic test, in Mexico.

Galileo Launches the First-Ever Large Language Model (LLM) Diagnostics and Explainability Platform to Reduce Model Hallucinations
Galileo (@rungalileo), the first-ever machine-learning (ML) data intelligence company for LLMs and Computer Vision, announced a suite of new tools called Galileo LLM Studio — now available for waitlist signups here. As organizations of all sizes and across industries begin to consider the potential applications of generative AI, it is more important than ever for data science teams to have access to tools to quickly and easily evaluate the results of these Large Language Models (LLMs) and optimize their performance.

Together is the first app to use generative AI to make cumbersome healthcare tasks ‘magically easy’ 
Dr. Renee Dua and Nick Desai — who previously founded and built visionary doctor house call company Heal — introduced Together by Renee (@togetherbyrenee), the first app to use generative AI to complete and manage cumbersome healthcare tasks for aging adults, those with chronic diseases and their overwhelmed caregivers. Together requires no typing or data entry and uses just the smartphone camera and AI to “magically” remove the myriad obstacles — such as medication refills, scheduling appointments, complex forms, opaque insurance benefits and more — that stand between Americans over 50 and better health outcomes.

To Read

AI Offers Hope to People Suffering From Lyosomal Storage DiseaseBy InnoNurse Staff (@innonurse) – In drug discovery research, artificial intelligence is becoming increasingly crucial. Researchers at the University of Zurich (UZH) have been able to better comprehend a deadly metabolic disorder due to advances in Big Data, learning algorithms, and powerful computers.

Generative AI: Pulling Back the Curtain– By John Halamka, M.D. & Paul Cerrato, Mayo Clinic Platform (@MayoPlatform) – As the name implies, a large language model (LLM) uses massive amounts of data, and in the case of text documents, can learn all sorts of linguistic patterns and associations to create a deep knowledge base to draw on. That in turn enables the model to make logical predictions on which words, sentences, and paragraphs should follow one another. Nigam Shah, M.D., a Professor of Medicine and Biomedical Data Science at Stanford University, has provided a lucid explanation of how these digital tools work in a recent video.

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