Low-dose CT chest scans could help detect pneumonia in at-risk patients while exposing them to only small amounts of radiation, a new study has found. The research, published in Radiology: Cardiothoracic Imaging, shows that ultra-low-dose scans can effectively detect pneumonia in patients with compromised immune systems, enabling doctors to treat the infection before it becomes life-threatening. According to the researchers, these scans expose patients to just 2% of the radiation dose used in a standard CT scan.

"This study paves the way for safer, AI-driven imaging that reduces radiation exposure while preserving diagnostic accuracy,” lead researcher Dr Maximiliano Klug, a radiologist with the Sheba Medical Center in Ramat Gan, Israel, said in a news release. He added that CT scans are the gold standard for detecting pneumonia but there are concerns regarding the risk posed by repeated exposure to radiation. There is a solution- ultra-low-dose CT scan. However, the problem is that these scans can be grainy and hard to read, researchers said.

Study Gives Solution To This

To overcome that, Klug's team developed an AI program that could help "de-noise" low-dose scans, making them sharper and easier to read. Between September 2020 and December 2022, 54 patients with compromised immune systems who had fevers underwent a pair of chest CT scans -- a normal dose scan and an ultra-low-dose scan. The AI program cleaned up the low-dose scan, and then both sets of images were given to a pair of radiologists for assessment. Radiologists had 100% accuracy in detecting pneumonia and other lung problems with the AI-cleaned low-dose scans, but 91% to 98% accuracy in examining the scans that hadn’t been improved through AI, results show.

"This pilot study identified infection with a fraction of the radiation dose," Klug said. "This approach could drive larger studies and ultimately reshape clinical guidelines, making denoised ultra-low dose CT the new standard for young immunocompromised patients.

How Can You Detect Pneumonia?

Pneumonia is a lung infection that causes the air sacs in the lungs to fill with fluid or pus and can be caused by bacteria, viruses, or fungi. The symptoms can range from milk to severe, which includes:

Coughing with or without cough

Fever

Chills

Trouble breathing

Chest pain, especially when breathing deeply or coughing

Sweating or chills

Rapid heart rate

Loss of appetite

Bluish skin, lips, and nails

Confusion.

How to detect Pneumonia in coughing newborns and toddlers?

Pneumonia can severely affect newborns and young children as their lungs are comparatively more sensitive. As per Dr Goyal, young children can cough for various reasons including seasonal infections and tonsillitis, which is very common in this age group. But if they look visibly irritable and have poor sleep patterns, then parents must reach out to an expert. "I am not saying that parents must visit a hospital but any local paediatrician would be able to detect pneumonia in your kid.

Unable to hit the gym due to a crunch of time? Take heart, indulging in resistance exercises such as lifting weights and bodyweight just twice a week at home can help you build muscle, as per new guidelines from the American College of Sports Medicine (ACSM).

The first major update to resistance training guidelines in the last 17 years moved away from the previous stance and stressed the fact that any type of resistance training is better than no exercise at all.

The updated guidelines stress the importance of resistance training, even in small amounts, for improving

• strength,
• muscle size,
• power
• physical function.

What Does The New Guidelines Say

The new recommendations, published in the Medicine & Science in Sports & Exercise journal, are based on 137 systematic reviews involving more than 30,000 participants. It is the most comprehensive resistance training guideline to date.

More than perfection, the guidelines emphasized the need for consistency. Beyond the gym, the guidelines for the first time also recognize elastic bands, bodyweight training, and home-based routines for offering clear and measurable improvements in strength, muscle size, and functional performance.

"The best resistance training program is the one you'll actually stick with," said Stuart Phillips, distinguished professor in the Department of Kinesiology and an author on the Position Stand.

"Training all major muscle groups at least twice a week matters far more than chasing the idea of a 'perfect' or complex training plan. Whether it's barbells, bands, or bodyweight, consistency and effort drive results," Phillips added.

The guidelines stated that while the load, volume, or frequency of the exercise regimen can be fine-tuned, the primary goal for most adults should be to build a consistent routine.

Instead of rigid rules, Phillips said that personal goals, enjoyment, and long-term adherence matter most, especially for adults looking to stay strong, healthy, and functional as they age.

Also read: India For The First Time Has Guidelines On Muscle Loss

What is Resistance training?

Resistance training, also known as strength or weight training, is a central component of exercise programs.

It exercises muscles by contracting against external resistance, such as free weights, machines, resistance bands, water, or body weight, through isometric, isotonic, or isokinetic actions.

It has proven to

• improve muscular strength,
• power,
• endurance,
• overall health and sports performance.
• bone density.

The Physical Activity Guidelines for Americans recommends adults do muscle-strengthening activities two or more days per week, working all major muscle groups at a moderate or greater intensity.

Studies have proven that resistance training

• Improves blood glucose control,
• Boost gut health
• Improves cognition and brain health
• Cuts down stress, depression, and anxiety
• Reduces cardiovascular disease risks.

Tech giant Microsoft's new artificial intelligence model GigaTIME will help reduce time and cost as well as expand access to cancer care, said CEO Satya Nadella today.

Nadella noted that its multimodal AI system has shown promise in transforming routine pathology slides into detailed spatial proteomics data -- a high-resolution map of proteins.

The advanced technology may help doctors analyze tumors faster, thus bringing hope to millions of cancer patients worldwide for a better and faster diagnosis.

Taking to social media platform X, Nadella said: “We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care”.

What is GigaTIME

GigaTIME is a multimodal AI model for translating routinely available hematoxylin and eosin (H&E) pathology slides to virtual multiplex immunofluorescence (mIF) images.

H&E is the "gold standard" technique in pathology for diagnosing cancer. The mIF images share details of proteins and their locations in cancer cells, thus advancing precision immuno-oncology research.

Developed in collaboration with Providence and the University of Washington, the team trained GigaTIME on a dataset of 40 million cells with paired H&E and mIF images across 21 protein channels.

The multimodal AI, which analyzed standard pathology slides, showed the potential to generate a “virtual population” of tumor cells. It also revealed the detailed protein activity within cancer cells.

The images also offer deeper insights into how tumors behave and disease progression, enabling doctors to cut down the time and cost of diagnosis.

“GigaTIME is about unlocking insights that were previously out of reach,” explained Carlo Bifulco, chief medical officer of Providence Genomics and medical director of cancer genomics and precision oncology at the Providence Cancer Institute, in a Microsoft Blogpost

“By analyzing the tumor microenvironment of thousands of patients, GigaTIME has the potential to accelerate discoveries that will shape the future of precision oncology and improve patient outcomes,” Bifulco added.

How GigaTIME Works

In the paper, detailed in the journal Cell, scientists from Microsoft reported that they applied GigaTIME to 14,256 cancer patients from 51 hospitals and over a thousand clinics.

The AI system generated a virtual population of around 300,000 mIF images spanning 24 cancer types and 306 cancer subtypes.

This virtual population uncovered 1,234 statistically significant associations linking mIF protein activations with key clinical attributes such as biomarkers, staging, and patient survival.

"By translating readily available H&E pathology slides into high-resolution virtual mIF data, GigaTIME provides a novel research framework for exploring precision immuno-oncology through population-scale TIME analysis and discovery," the researchers said.

"The GigaTIME model is publicly available to help accelerate clinical research in precision oncology," they added.

Even as India’s flagship health insurance program, Ayushman Bharat–Pradhan Mantri Jan Arogya Yojana (AB PM-JAY), has significantly benefited cancer patients in the country, oncologists and health economists led by the All India Institute of Medical Sciences in a new study have urged for including early cancer detection in its coverage.

AB PM-JAY has, since its launch in 2018, provided crucial financial protection and timely access, reducing financial burden as well as out-of-pocket expenditure for people from poor and vulnerable families suffering from the deadly condition.

However, the study, led by Dr. Abhishek Shankar, an assistant professor in the department of radiation oncology at AIIMS, Delhi, flagged a huge gap between current and required funding.

While AB PM-JAY currently allocates about Rs 7,700 crore per year for cancer, the full five-year Standard of Care (SoC) for cancer, including diagnostics, surgery, targeted drugs, radiotherapy, and follow-up, would require an estimated Rs 33,000 crore annually, revealed the study.

"Better cancer care is not only about spending more, but it is also about spending smarter, especially where early detection and diagnosis and well-designed coverage can prevent both late-stage suffering and catastrophic costs,” said Dr. Shankar.

"This will be a useful strategic shift away from purely increasing budgets toward optimizing care pathways and resource allocation, and also prioritizing early detection," he added.

How AB PM-JAY Has Benefitted Cancer Patients In India

AB PM-JAY, the world’s largest publicly funded health insurance scheme, was launched in 2018 to provide health cover to 55 crore people, corresponding to 12.34 crore poor and vulnerable families.

The government covers up to 5 lakh rupees for treatment such as chemotherapy for breast, ovarian, colorectal, cervical and bone cancers.

As per the latest data from the Health Ministry, India has seen a significant rise in the cancer burden, with the cases rising to 1,569,793 in 2025.

AB PM-JAY has reportedly provided cover for over 68 lakh cancer treatments, worth around Rs 13,000 crore.

What The Study Proposes

1. The study proposed to add the five-year Standard of Care (SoC) for cancer under the AB-PMJAY program. It said that, including diagnosis and treatment:

• will save about Rs 1,500 crore annually
• lead to 1,560 additional survivors per year

2. A five-year "revolving ceiling" of Rs 25 lakh per family, instead of the current Rs 5 lakh annual cap

3. A top-up facility of Rs 10 lakh for high-stage cancers

4. Adding diagnostic coverage and screening support

5. Integrating screening and diagnostics via Health and Wellness Centers under the National Health Mission

"India needs a more balanced framework for evaluating cancer innovations, one that considers not only cost but also the value delivered to patients, society and the health system," said Dr Monika Puri, Public Health Expert.

"Eligible funds for cancer patients should be advanced in the first year itself so that they can complete the intensive treatments and therapies required during the initial phase," said Dr. Sudha Chandrashekhar, Former Executive Director, National Health Authority. She suggested that such support could later be adjusted against entitlement in subsequent years.