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.

Quebec has reported a case of Rocky Mountain spotted fever, a potentially deadly tick-borne disease. Reports suggest that the fever was likely acquired in Ontario or Quebec, as this disease was reported in Ontario earlier this year.

Here is what you need to know about the disease, how fatal it is, risk factors and symptoms you should look out for.

What Is Rocky Mountain Spotted Fever (RMSF)?

According to the Centers of Disease Control and Prevention, RMSF is a serious illness caused by bacteria and spread through the bite of an infected tick. It can be deadly if not treated early.

How To Spot The First Symptom of RMSF?

The first signs of RMSF can be vague and feel like other illnesses, including fever, headache, and muscle pain. The illness can get worse very quickly. A rash is a common symptom, but it often appears 2 to 4 days after the fever starts, which can make it hard to diagnose early. The rash can look like red splotches or tiny dots.

If you get sick after being bitten by a tick or spending time in a wooded or brushy area, you should see a doctor right away.

What Are The Long-Term Effects of RMSF?

RMSF is a serious disease that does not become a long-term, chronic infection. However, a severe case can lead to permanent damage, such as hearing loss, mental disability, or even the loss of limbs due to blood vessel damage.

There is no vaccine for RMSF. The best way to protect yourself is to prevent tick bites on yourself, your pets, and in your yard. Ticks are most active from April to September, but you can be exposed to them year-round.

Because RMSF can be so dangerous, CDC explains that doctors often start treatment with an antibiotic called doxycycline as soon as they suspect the illness, even before lab test results are back. This is because test results can take weeks to return. Doxycycline is an approved treatment for people of all ages and is crucial for preventing severe illness and death. However, please make sure you get yourself checked out before you take any medication.

Morton manager Dougie Imrie announced the death of his baby daughter, who was born 14 weeks premature and weighed 1ib and 4 ounces. His daughter, Remi was 20 day old when she left the world. Remi was also put in neonatal intensive care unite at Wishaw Hospital and on Wednesday the announcement of her passing away was made.

He made the announcement on X, formerly Twitter, and wrote: "Our girl got tired in the early hours of Tuesday morning & decided it was time to rest 'If love could have saved you, you would have lived forever'.

He also wrote: "20 days of loving you, Remi, I hope you know how much you were loved, and we will cherish the short time we got to spend with you, a true wee fighter from the minute you were born."

The Greenrock Morton Football Club also paid tribute, calling it a "profound loss". The club wrote: "The Greenrock Morton Football Club family are devastated to learn of the tragic passing of Remi Imrie. The heartfelt condolences of all associated with the club go to Dougie Imrie, his partner Lauren and the full family at this extremely sad time. Greenock Morton at this time requests the privacy of the family as they try to come to terms with this profound loss, and we will continue to provide our full support."

Are Premature Babies Prone To Risks?

When a baby is born before 37 weeks of pregnancy, it is called preterm or a premature birth. The earlier the birth, the more serious the health risks to the baby. In most cases, preterm babies require special care in a NICU.

Some of the most common health conditions that can affect a premature baby are:

• Anemia, or not having enough healthy red blood cells
• Apnea of prematurity or temporary pauses in breathing
• Bronchopulmonary dysplasia, respiratory distress syndrome or underdeveloped lungs
• Intraventricular hemorrhage, or bleeding in their brains
• Newborn jaundice or hyperbilirubinemia, which means there are high levels of bilirubin in their blood.
• Necrotizing enterocolitis, or inflammation of their intestines
• Neonatal sepsis, or blood infection
• Patent ductus arteriosus (PDA), or abnormal blood flow in their hearts
• Retinopathy of prematurity, or underdeveloped blood vessels in their eyes

ALSO READ: Your Baby’s First 28 Days Are Critical, 5 Neonatal Health Problems Parents Can’t Afford To Miss

Premature babies are also at a higher risk of developmental challenges during childhood, which includes:

• Cerebral palsy
• Hearing and vision problems
• Learning disabilities
• Poor growth
• Problems with communication or social development

Some other risks that lure upon the mother who delivers a preterm baby are:

• Anxiety
• Postpartum depression
• Post-traumatic stress disorder (PTSD)
• Problems bonding with their baby

"Premature babies are born with most of their organs, but their organs are not mature enough to function," notes Dr Avneet Kaur, neonatologist and Pediatrician at the Apollo Cradle Hospital. "So we have to give them that much maturity till they reach that level of maturity themselves and maintain all those organ functions," she explains.

While the premature babies are in NICU, they are kept in incubators, explains the doctor. The babies are also given infusion drips so enough nutrition also reaches their bodies. The infusion drip is used to allow essential nutrients like protein, carbohydrates, etc., which a baby who is not born preterm would not need. "Preterm babies are functionally fragile, so we have to support them in every manner," she says.

Just a day after "the nicest judge in the world", Judge Frank Caprio, 88, asked his followers from a hospital bed for their prayers, his relatives confirmed his death on Wednesday. His popular social media pages had already announced his death after a cancer diagnosis.

He earned his nickname "the nicest judge in the world" for his years on the Emmy-nominated show "Caught in Providence", and also for his social media presence. He had millions of followers. He crossed 3.3 million followers on Instagram and 1.6 million on TikTok.

The post that announced his death read: "He will be remembered not only as a respectable judge, but as a devoted husband, father, grandfather, great grandfather and friend. His legacy lives on in the countless acts of kindness he inspired. In his honor, may we strive to bring a little more compassion into the world - just as he did every day."

The Cancer Journey Of "The Nicest Judge In The World"

It was in 2023, that Caprio announced that he had been diagnosed with pancreatic cancer, one of the most aggressive types. He finished his radiation treatments in 2024 and published a new book. He soon returned to social media, and announced that his cancer has come back.

He said, "Last year I asked you to pray for me, and it's very obvious that you did, because I came through a very difficult period. Unfortunately I've had a setback and I'm back at the hospital." He also added: "I believe the almighty above is watching over us. So please remember me."

Read: TV’s ‘Nicest Judge’ Frank Caprio Shares Heartbreaking Cancer Update: ‘Keep Me In Your Prayers’

For almost 40 years, Caprio presided over hearing in Providence, Rhode Island. He was appointed in 1985 to the Providence Municipal Court and served as a chief judge until his retirement in January 2023. He had been hearing everyday from individuals who were saddled by parking tickets, small infractions and personal dilemmas. He had waived off fines for the low-income groups, is known for his sharp humor to calm the worried defendants. One of the things he would say was: justice can be more than just punishment, it can also be compassion. His motto was to find a human behind every case. This is what has earned him the nick of "the nicest judge in the world".

Pancreatic Cancer Recurrence

According to Florida's Moffitt Cancer Center pancreatic cancer recurrence can develop after a patient completes an initial course of treatment and experiences a period of time during which there is no evidence of cancer being present.

However, there is always a chance that some cancer cells will survive treatment. Over time, residual cells begin to grow and form recurrent cancer.

Where Can It Reappear?

The cancer can reappear locally within the pancreas, or regionally within nearby lymph nodes or distantly in other parts of the body. This is why it is important for a pancreatic cancer patient to have regular medical checkups to ensure that any health changes are identified, evaluated and treated.

As per a 2023 study published in the World Journal of Surgical Oncology, Pancreatic ductal adenocarcinoma (PDAC), one of the most common forms of pancreatic cancer is one of the most aggressive cancers, with surgical resection offering the only potential chance of cure.

Yet, notes the study, recurrence remains a major concern, often occurring early and drastically reducing survival prospects.

The study analyzed 403 patients who underwent surgery for PDAC shed light on how and why recurrence happens. Over a median follow-up of about 26 months, nearly 70% of patients experienced recurrence, with timing proving to be a crucial factor. Roughly 15% saw the cancer return within the first six months, 23% between six and twelve months, while the rest either recurred later or did not experience recurrence at all.

What Are The Risk Factors For Early Recurrence

The study identified several clinical features strongly linked to early recurrence. Elevated levels of the tumor marker CA19-9 before surgery, a higher modified Glasgow Prognostic Score (mGPS) reflecting systemic inflammation and poor nutritional status, and positive peritoneal cytology were all associated with recurrence within the first 6 months.

For recurrence within 12 months, positive peritoneal cytology remained an important risk factor. In addition, lymph node metastasis and the absence of adjuvant chemotherapy after surgery were also significant contributors. Patients who received chemotherapy or chemoradiotherapy before surgery showed the same pattern of risk, suggesting these factors are consistent across treatment strategies.