News – PULMONARY HYPERTENSION

Study provides proof-of-concept that fully automated, algorithm-driven tacrolimus dosing can improve therapeutic drug monitoring in real-world clinical practice, Clinical Pharmacology and Therapeutics, October 11, 2025

Tacrolimus therapeutic drug monitoring is challenging due to high inter- and intra-patient variability. A prospective randomized controlled trial was conducted by researchers at the University Hospital in Leuven, Belgium, on 293 de novo kidney transplant recipients during the first 14 days post-transplant. A fully automated Model-informed precision dosing (MIPD) application (1) was integrated into the […]

Study provides proof-of-concept that fully automated, algorithm-driven tacrolimus dosing can improve therapeutic drug monitoring in real-world clinical practice, Clinical Pharmacology and Therapeutics, October 11, 2025 Read Post »

Deep Learning Models Can Identify Pulmonary Arterial Hypertension associated with Congenital Heart Disease (CHD-PAH) on Routine Chest X-Ray, The Cardiology Advisor, September 5, 2025

Key point: The deep learning-based chest X-ray model for pulmonary hypertension detection, CXR-PH-Net, proved particularly sensitive in identifying in early-stage/mild pulmonary hypertension. Researchers in China developed artificial intelligence programs that can analyze chest X-rays to detect pulmonary hypertension by training computer programs using chest X-rays from over 6,700 patients in Beijing hospitals, comparing those with and

Deep Learning Models Can Identify Pulmonary Arterial Hypertension associated with Congenital Heart Disease (CHD-PAH) on Routine Chest X-Ray, The Cardiology Advisor, September 5, 2025 Read Post »

Computer modeling used in study to simulate long-term mortality/morbidity in patients with pulmonary arterial hypertension If sotatercept Is delayed, Advances in Therapy, June 17, 2025

Researchers used computer modeling to compare immediate versus delayed (2-year) treatment with sotatercept, a new pulmonary arterial hypertension medication, to predict lifetime outcomes. Study Method: Building on the findings of the phase 3 STELLAR trial on sotatercept the authors of the study refer to a population health model which was recently published assessing the long-term

Computer modeling used in study to simulate long-term mortality/morbidity in patients with pulmonary arterial hypertension If sotatercept Is delayed, Advances in Therapy, June 17, 2025 Read Post »

Artificial intelligence applied to chest X-rays may have the potential to detect pulmonary hypertension associated with congenital heart disease (PAH-CHD), CHEST Journal, June 18, 2025

Pulmonary hypertension (PH) is hard to diagnose, especially in places with limited medical resources, but catching it early is crucial for treatment. A group of researchers from China conducted a retrospective cohort study with 4,576 patients, including 2,288 pulmonary hypertension cases, who underwent chest X-rays (CXR) followed by right heart catheterization (RHC) or transthoracic echocardiography

Artificial intelligence applied to chest X-rays may have the potential to detect pulmonary hypertension associated with congenital heart disease (PAH-CHD), CHEST Journal, June 18, 2025 Read Post »

The Role of Telehealth in Pulmonary Arterial Hypertension (PAH) Management: Benefits, Barriers, and Solutions, Pulmonary Circulation, June 9, 2025

The use of remote healthcare services expanded significantly during the COVID-19 pandemic, promoting distant patient care management. Telehealth may be effective in managing patients with pulmonary arterial hypertension (PAH), due to its use in the management of other chronic diseases. However, evidence for telehealth use in pulmonary arterial hypertension is limited to a few small

The Role of Telehealth in Pulmonary Arterial Hypertension (PAH) Management: Benefits, Barriers, and Solutions, Pulmonary Circulation, June 9, 2025 Read Post »

Physical Activity, Sleep, and Quality of Life in Pulmonary Arterial Hypertension: Novel Insights From Wearable Devices, Pulmonary Circulation, April 16, 2025

A study published in Pulmonary Circulation on April 16, 2025 investigated whether Fitbit wearable devices can provide meaningful clinical information about activity and sleep patterns in pulmonary arterial hypertension (PAH) patients. A total of 110 participants completed the 12-week baseline monitoring period. The cohort was median age 52.7 years (IQR: 40.9–60.5), female predominant (84% female),

Physical Activity, Sleep, and Quality of Life in Pulmonary Arterial Hypertension: Novel Insights From Wearable Devices, Pulmonary Circulation, April 16, 2025 Read Post »

A large-scale randomised controlled trial in Taiwan reveals that the use of an artificial intelligence-enabled electrocardiogram alert system can significantly reduce mortality in hospitalized patients, Nature Medicine

This article on the use of an artificial intelligence alert system is not new but it was mentioned during the recent European Society of Cardiology CRT – Cardiovascular Round Table – on the them of AI in cardiovascular care, which took place on March 26-27, 2025 (link) The primary clinical hypothesis of this randomised controlled

A large-scale randomised controlled trial in Taiwan reveals that the use of an artificial intelligence-enabled electrocardiogram alert system can significantly reduce mortality in hospitalized patients, Nature Medicine Read Post »

Deep Learning-Based Pulmonary Hypertension Screening Algorithm Using a Digital Stethoscope, Journal of the American Heart Association, February 4, 2025

Pulmonary hypertension often goes undiagnosed in part because of low suspicion and screening tools not being easily accessible. A deep learning study, published on the Journal of the American Heart Association, has developed a novel screening method for pulmonary hypertension using digital stethoscope recordings (phonocardiograms). By analyzing approximately 6,000 PCG recordings with echocardiogram data, researchers

Deep Learning-Based Pulmonary Hypertension Screening Algorithm Using a Digital Stethoscope, Journal of the American Heart Association, February 4, 2025 Read Post »

AI Model for Depression Diagnosis Developed in Finland: A Potential Breakthrough for Accessible and Early Mental Health Care

Researchers at Kaunas University of Technology, Finland, have developed an artificial intelligence model that combines speech and brain activity data to diagnose depression with an accuracy of 97.53 percent. This innovative approach, detailed in an article for Brain Sciences dated October 15, 2024, leverages both electroencephalogram signals and voice recordings to assess emotional states more

AI Model for Depression Diagnosis Developed in Finland: A Potential Breakthrough for Accessible and Early Mental Health Care Read Post »

Deep learning model outperforms echocardiography in identifying pulmonary hypertension, CHEST, October 24, 2024

A new multimodal fusion model (MMF-PH) has outperformed transthoracic echocardiography (TTE) in accurately diagnosing pulmonary hypertension (PH) and identifying its subtypes, as presented at the CHEST Annual Meeting in Boston from 6-9 October. By integrating data from demographics, chest X-rays, electrocardiogram, and transthoracic echocardiography, this model reduces the need for invasive right heart catheterization. In

Deep learning model outperforms echocardiography in identifying pulmonary hypertension, CHEST, October 24, 2024 Read Post »

From Dr. Google to Dr. ChatGPT: Evaluating the Credibility of ChatGPT for Pulmonary Arterial Hypertension Information

Patients worldwide are increasingly switching from Dr. Google to Dr. Chat GPT. A recent article titled “Trustworthiness, Value, Danger, and Readability of ChatGPT-Generated Responses to Health Questions Related to Pulmonary Arterial Hypertension”, published in the Cureus Journal of Medical Science on October 14, 2024, aimed to determine how well ChatGPT could accurately and consistently respond

From Dr. Google to Dr. ChatGPT: Evaluating the Credibility of ChatGPT for Pulmonary Arterial Hypertension Information Read Post »

Could artificial intelligence contribute to earlier diagnosis of pulmonary arterial hypertension? Recent research shows promising results, “Managed Healthcare Executive”, August 20, 2024

Over the past decade, significant strides have been made in diagnosing and treating pulmonary hypertension, driven by updated criteria and new medications. However, timely diagnosis remains a major challenge, with many patients facing long delays, often waiting years and consulting multiple doctors before receiving an accurate diagnosis. Journalist and healthcare writer Jared Kaltwasser has recently

Could artificial intelligence contribute to earlier diagnosis of pulmonary arterial hypertension? Recent research shows promising results, “Managed Healthcare Executive”, August 20, 2024 Read Post »

Interesting initiative to adapt the 6 minute walk test, PRO measures and finger prick samples for remote use in pulmonary arterial hypertension clinical trials

The most familiar exercise capacity test in the field of pulmonary arterial hypertension is the 6-Minute Walk Test, where patients walk up and down a corridor for 6 minutes while their physiological parameters and distance walked are measured. This test is also used in other, different types of diseases, and Dr Joe Newman, a clinical

Interesting initiative to adapt the 6 minute walk test, PRO measures and finger prick samples for remote use in pulmonary arterial hypertension clinical trials Read Post »

Artificial intelligence could help restore the essential humaneness in medicine by providing the gift of time, The Lancet, October 21, 2023

In the age of artificial intelligence, chat bots and automated services, our quest for empathy becomes more pressing than ever. Counterintuitively, Dr. Eric J. Topal, an American cardiologist, scientist, and best selling author, claims that artificial intelligence has the potential to enhance empathy, particularly in the vital relationship between patients and clinicians. In a recent

Artificial intelligence could help restore the essential humaneness in medicine by providing the gift of time, The Lancet, October 21, 2023 Read Post »

“Artificial intelligence in healthcare and education”, BDJ, May 26, 2023

“AI has the potential to bring about positive changes in healthcare and to empower patients by providing them with more control over their health”, reads an article in the BDJ published on May 26, 2023, which, interestingly, was entirely written by Chat GPT, an AI conversation tool developed by Open AI! Manas Dave and Neil Patel,

“Artificial intelligence in healthcare and education”, BDJ, May 26, 2023 Read Post »