Every year, thousands of seemingly healthy people—often young, active, and without obvious warning signs—die suddenly due to cardiac arrest. For decades, doctors have struggled to reliably identify which patients with heart conditions are at high risk and who might be unnecessarily undergoing invasive interventions. That may be about to change.

In a breakthrough that could transform how we predict—and prevent—sudden cardiac death, scientists at Johns Hopkins University have developed an artificial intelligence model that vastly outperforms current clinical standards in identifying people most at risk. Their new system, known as MAARS (Multimodal AI for Arrhythmia Risk Stratification), not only forecasts risk with up to 93% accuracy in vulnerable age groups, but also explains why someone is high risk—something most algorithms fail to do.

The focus of the study is hypertrophic cardiomyopathy (HCM), one of the most common inherited heart conditions. It affects around 1 in 200 to 500 people globally and is a leading cause of sudden cardiac death in athletes and young adults. While most individuals with HCM live normal lives, a subset is at high risk for lethal arrhythmias—heart rhythm disturbances that can cause the heart to stop without warning. And here’s the catch: right now, doctors only have a 50-50 shot at predicting who will be affected.

“Currently we have patients dying in the prime of their life because they aren’t protected,” said Dr. Natalia Trayanova, senior author of the study and a leading figure in AI cardiology research. “And others are putting up with defibrillators for the rest of their lives with no benefit.”

Trayanova is referring to implantable cardioverter defibrillators (ICDs)—tiny devices inserted into the chest that deliver electric shocks to correct abnormal heart rhythms. They save lives in the right patients but come with physical, emotional, and financial burdens when used unnecessarily.

The need for a more precise, personalized tool has never been greater.

What the AI Model Does Differently?

Published in Nature Cardiovascular Research, the new model represents a significant departure from traditional clinical guidelines used across the US and Europe.

MAARS doesn’t rely on a single data source. Instead, it analyzes a multimodal spectrum of information—ranging from electronic health records and patient histories to contrast-enhanced cardiac MRI images that reveal scarring, or fibrosis, within the heart.

Scarring is a key factor in determining sudden death risk in HCM. But interpreting these raw images is extremely challenging for even seasoned cardiologists. That’s where AI has the edge.

“People have not used deep learning on those images,” Trayanova explained. “We are able to extract this hidden information in the images that is not usually accounted for.”

The AI essentially spots dangerous patterns in the heart’s scar tissue that the human eye—and even conventional software—can’t see.

How Accurate Is It?

In clinical tests involving real-world patients from Johns Hopkins Hospital and Sanger Heart & Vascular Institute in North Carolina, the results were staggering:

• Traditional clinical guidelines correctly predicted sudden cardiac death risk only 50% of the time.
• The MAARS model achieved an overall accuracy of 89%.
• In patients aged 40 to 60—a group particularly vulnerable to undetected risk—the model was 93% accurate.

What makes this even more valuable is its ability to provide explanations. The system doesn't just say "this patient is high risk"—it breaks down the why, giving cardiologists critical information to tailor treatment plans.

“This significantly enhances our ability to predict those at highest risk compared to our current algorithms,” said co-author Dr. Jonathan Crispin, a Johns Hopkins cardiologist. “It has the power to transform clinical care.”

Why This Could Be Transformative?

MAARS isn't the first AI model from Trayanova’s lab. In 2022, her team built another tool that provided survival predictions for patients with prior heart attacks, known as infarcts. But this latest model breaks new ground by tackling one of the most elusive forms of cardiac risk—arrhythmias caused by scarring in inherited heart conditions. The potential benefits are wide-ranging:

• Lives saved by identifying at-risk patients who might otherwise be missed.
• Better quality of life for patients who avoid unnecessary ICD implantation.
• More personalized treatment plans based on detailed, AI-generated insight.

Importantly, the model was trained and validated across diverse demographics, showing consistent performance regardless of age, gender, or ethnicity.

The researchers aren’t stopping here. They plan to expand MAARS to include other forms of arrhythmia-related heart diseases, such as cardiac sarcoidosis and arrhythmogenic right ventricular cardiomyopathy—conditions that also carry a high risk of sudden death but suffer from diagnostic ambiguity.

They’re also working to test the model in larger, more varied populations to move it closer to clinical adoption.

A New Era in Cardiology?

Artificial intelligence has long been hyped as the future of medicine. But MAARS is more than hype—it’s a working proof of concept that shows how deep learning can complement medical expertise, not replace it.

AI may soon become your cardiologist’s most powerful diagnostic tool—one that sees what even the best-trained human eyes might miss. And when lives are on the line, that kind of clarity could mean everything.

Danish pharma giant Novo Nordisk has once again reduced the prices of its blockbuster drugs Ozempic and Wegovy in India. The strategic move is aimed at staying ahead of the entry of the low-cost generic competition in the country.

Starting today, the Ozempic price in India will be cut by 36 percent, while Wegovy has seen a steeper 48 percent reduction — limiting the base price below Rs 6,000 per month.

While Ozempic is available in three dose strengths of 0.25 mg, 0.5 mg, and 1 mg in India, Wegovy has five dose strengths.

Ozempic's and Wegovy's lowest doses of 0.25 ⁠mg will now be priced at Rs 1,415 for a weekly shot from Rs 2,200 and Rs 2,712 earlier, respectively, Novo Nordisk India said in a statement on Tuesday.

The average price reduction across doses is 23.8 percent for Ozempic and 27 percent for Wegovy, it added.

Speaking to the media, Novo Nordisk stated that the price cut will benefit a large section of people with diabetes and obesity in India.

The generic weight loss drugs will open up a huge customer base, especially in India, with a high burden of diabetes and obesity.

Novo first slashed Wegovy's price for the first time by up to 37 percent from its launch price last year.

In addition to the entry of generics, the launch of rival Eli Lilly's blockbuster diabetes and obesity drug Mounjaro in India in 2025.

Also read: Semaglutide Becomes Cheap In India: A Gamechanger Or Health Gamble?

Entry Of Generics In India

Soon after the end of Novo Nordisk's patent on semaglutide, on March 20, a host of companies in India launched generic versions of Ozempic.

This includes NATCO Pharma's Semanat and Semafull, priced at Rs 1,290 per month and Rs 1,750 — about 90 per cent cheaper than Ozempic, costing Rs 8,800 per month.

Eris Lifesciences also announced its plans to launch a multi-dose vial under the brand name Sundae at the same price.

Dr. Reddy’s Laboratories, Sun Pharmaceutical Industries, and Glenmark Pharmaceuticals have also launched their generic versions of semaglutide.

Dr. Reddy’s Obeda is priced at Rs 4,200 per month, available in 2 mg and 4 mg strengths.

Sun Pharmaceutical Industries will sell under the brand names Noveltreat (doses ranging from Rs 900) and Sematrinity (doses ranging from Rs 750). Meanwhile, Glenmark’s GLIPIQ vials range from Rs 325 to Rs 440 per week.

Zydus Lifesciences has also announced the launch of its generic version of semaglutide injection under the brand names SEMAGLYNTM, MASHEMATM, and ALTERMET. The average monthly cost of the treatment will be about Rs 2,200, the company said in a statement.

How Does Semaglutide Work?

Semaglutide works as a GLP-1 receptor agonist that mimics the GLP-1 hormone to regulate appetite and blood sugar. It slows gastric emptying and makes you feel fuller longer. It also signals the brain to reduce hunger and cravings, and triggers the pancreas to release insulin when blood sugar is high.

Also read: This Pill Is More Effective For Weight Loss Than Ozempic, Scientists Say

They work by increasing insulin release in a glucose-dependent manner, decreasing the liver's production of glucagon, and slowing down the emptying of the stomach, which helps lower blood sugar levels after a meal. They also act on the brain to suppress appetite and increase feelings of fullness, leading to reduced calorie intake.

In people with type 2 diabetes, notes Harvard Health, the body's cells are resistant to the effects of insulin and the body does not produce enough insulin, or both. This is when GLP-1 agonists stimulate the pancreas to release insulin and suppress the release of another hormone called glucagon.

These drugs also act in the brain to reduce hunger and act on the stomach to delay emptying, so you feel full for a longer time. These effects can lead to weight loss, which can be an important part of managing diabetes.

Health officials in the US have issued a risk of leptospirosis — a bacterial illness — in Hawaii, after the “Kona low” storm floods.

The Hawaii Department of Health (DOH) and the Hawaiian Humane Society (HHS) have urged residents and recovery workers to monitor for signs of leptospirosis that can affect both people and pets.

Leptospirosis is caused by bacteria Leptospira, which are carried in the urine of infected animals, including rats, mice, mongoose, livestock, and dogs.

The disease can spread via the urine of infected animals and can enter the human body through broken skin or through the mouth, nose, or eyes.

“Hawaii already has among the highest rates of leptospirosis in the country due to its warm, wet climate,” said HHS and DOH in a joint statement.

“Flooding events like the recent Kona low storm can dramatically increase exposure risk by spreading contaminated soil and water across a broad area,” it added.

The agency urged people to check out symptoms in pets, such as fever, decreased appetite, vomiting, diarrhea, and muscle soreness, and get medical help.

The risk of Leptospirosis outbreak is common after a storm, because the dead animals are likely to spread the bacteria. Further, flooding also forces rodents out of their burrows, leading them into homes, shelters, and debris piles where they shed bacteria more easily.

What Is Leptospirosis?

Leptospirosis is one of the most prevalent zoonotic diseases worldwide, often linked to poor sanitation and agricultural practices that involve contact with animals or contaminated water.

The bacteria can survive in contaminated water or soil for weeks to months, primarily spreading through the urine of infected animals.

Also read: With Rising Temperatures A Major Rat Infestation Is Taking Over The World- Why Is This A Health Hazard?

Humans can contract the disease through direct contact with infected urine or through contaminated food, water, or soil.

There are two main forms of leptospirosis: icteric leptospira, which presents with jaundice, and anicteric leptospira, a milder variant without jaundice. Leptospirosis can also manifest as Weil's disease, a severe complication.

What Are Symptoms Of Leptospirosis in humans?

Symptoms typically develop 2 to 30 days after exposure and can range from mild to severe. Initial signs often include

• high-grade fever,
• red eyes (conjunctival suffusion),
• calf tenderness,
• headache,
• dry cough,
• nausea,
• diarrhea.

In more serious cases, the infection can lead to complications such as

• jaundice,
• kidney damage
• liver damage,
• meningitis,
• respiratory issues,
• hemorrhages.

Pulmonary hemorrhage — acute bleeding from the lungs — can also occur, posing life-threatening risks such as respiratory and renal failure. The illness may last from a few days to several weeks, and without treatment, recovery can take months, according to the US Centers for Disease Control and Prevention (CDC).

What Precautions Should Be Taken?

To reduce the risk of leptospirosis infection, individuals are advised to take several important precautions. According to the CDC, it is essential to avoid wading through dirty rainwater, especially during the rainy season, and to wear gumboots in such conditions.

Proper care of any injuries or cuts is crucial, and frequent handwashing, particularly after handling food or working in potentially contaminated environments, is highly recommended. Additionally, individuals should avoid contact with animals that appear sick or are known carriers of the bacteria.

Vaccination is also vital—pet owners should ensure their pets are vaccinated against leptospirosis, especially if they are frequently exposed to water or wildlife. Staying hydrated by drinking plenty of clean water and preventing water stagnation around the home can further minimize the risk of infection.

The emerging COVID variant, BA 3.2, nicknamed “Cicada,” has revived memories of the COVID-19 pandemic that disrupted the world and raised fresh concerns about the possibility of severe illness.

The variant has been given the nickname “Cicada” due to its reappearance after remaining dormant or undetected for a long period, much like cicadas that emerge after years underground.

With the variant already spread to 23 nations, as of February, experts are urging people to use masks to avoid transmission.

What Is The Cicada COVID Variant?

Cicada was first identified in a respiratory sample in South Africa in November 2024.

It is a descendant of the Omicron BA.3 lineage, and is genetically distinct from the previously circulating JN.1 lineages (including LP.8.1 and XFG).

BA.3.2 comprises two major branches, BA.3.2.1 and BA.3.2.2. BA.3.2.2 also has substitutions like: K356T, A575S, R681H, and R1162P.

The World Health Organization (WHO) has designated BA.3.2 as a Variant Under Monitoring (VUM). It means the variant may not be that dangerous yet, but it may have concerning mutations.

As per the US CDC’s latest Morbidity and Mortality Weekly Report, Cicada has “70 to 75 substitutions and deletions in the gene sequence of its spike protein”.

Time To Mask Up

Dr. Sai Balasubramanian, a doctor and healthcare strategy executive, writing in Forbes, stressed the need to follow COVID practices such as masks and hand hygiene.

"Healthcare professionals recommend taking general precautions, similar to those used to prevent most viral transmission: get vaccinations when appropriate, wear masks in crowded areas or indoors where there is a high risk of transmission," he said.

He also urged “avoid individuals who have known illness or infections, wash hands frequently, and continue to stay apprised of local community guidelines and the infection spread”.

Cicada variant “is different from the (Covid-19) viruses we have been dealing with for the last two years," Prof Ravi Gupta, of Cambridge University, who advised the UK government during the pandemic, was quoted as saying by The Mirror.

Will The Cicada Variant Cause Severe Illness?

The SARS-CoV-2 virus has the potential to turn deadly in people, especially among vulnerable populations such as those with a weak immune system.

The Cicada variant is particularly concerning as it provides no immune protection to people with previous infection or even vaccination.

Yet, the World Health Organization and health experts advise that existing COVID vaccinations can help prevent severe illness and hospitalization.

"It would appear that all the protections we have from our experience with the virus and with vaccines probably offer more limited—not zero—but more limited protection against this strain," Dr. William Schaffner, professor of infectious diseases at Vanderbilt University Medical Center, was quoted as saying by Time.

Cicada Variant: Any New Symptoms?

The symptoms of Cicada aren't different from those of previous COVID variants. These include:

• sore throat,
• fever or chills,
• headache,
• cough,
• body aches,
• runny nose
• nausea
• diarrhea.