2025
Early detection is the most powerful tool in the fight against heart disease. One of the most dangerous—and often silent—cardiac conditions is atrial fibrillation (AF), a leading cause of stroke and heart failure. The key to preventing these life-threatening outcomes lies in timely diagnosis and monitoring.
This is where Heart2Save makes a life-saving difference.
Combining artificial intelligence with clinical-grade ECG technology, the Heart2Save solution enables instant, accurate detection of arrhythmias such as AF—anytime, anywhere. The compact, mobile device is designed for ease of use, empowering both healthcare professionals and patients to perform quick screenings with results interpreted by AI in seconds.
First introduced five decades ago, MRI scanners are now a cornerstone of modern medicine, vital for diagnosing a wide range of conditions — including strokes, tumors, and spinal conditions — while avoiding exposing patients to radiation.
But they remain hard to come by in developing countries: Africa has less than one MRI machine per million people, while the figures in the United States and Japan are 40 and 55 per million, respectively.
To tackle the problem, Yujiao Zhao and colleagues at the University of Hong Kong built a simplified, low-powered MRI machine using store-bought hardware that cost around $22,000, and published their findings in the prestigious journal Science.
MRI uses a strong magnetic field and radio waves to align and manipulate the body’s hydrogen atoms, producing detailed images of internal structures and organs.
The strength of magnets is measured in units called teslas (T), with conventional MRIs requiring powerful electromagnets that have wires bathed in supercooled liquid helium to generate magnetic fields of 1.5T to 7T.
These machines demand high electricity inputs, far exceeding what standard wall outlets can provide, and must be housed in radio frequency-shielded rooms to prevent equipment interference. Current clinical use MRIs cost upwards of million dollars.
By contrast, the Hong Kong research team’s full body MRI machine used a helium-free 0.05T magnet and required just 1800 watts — comparable to a hair dryer, meaning it could use a standard socket. What’s more, it did not require radio shielding.
To compensate for the reduced image detail and higher levels of radio interference, the researchers integrated their system with a deep learning algorithm trained on a vast dataset of high-resolution images of human anatomical structures.
They then tested their machine on 30 healthy adult volunteers, performing scans over their bodies from their brains down to their knees.
2025
Recent breakthroughs in nutritional science have introduced a transformative concept: targeted fasting-mimicking nutrition.
2023
Artificial Intelligence is revolutionizing the field of ophthalmology by enabling faster, more accurate detection of vision-threatening diseases