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Heart attacks and strokes are among the leading causes of death globally, with millions suffering from cardiovascular diseases (CVD) every year. There are more than seven million people in the UK alone, with about 100,000 patients experiencing heart attacks annually. However, a group of researchers at University College London (UCL) estimate that one 'polypill' taken daily day could eliminate a majority of these cases dramatically lowering death tolls.
The proposed polypill, a combination of a statin and three blood pressure-lowering drugs, has been under study for over two decades. Experts argue that introducing this pill universally for individuals aged 50 and above could be more effective than the current NHS Health Check, which assesses risk factors every five years for those aged between 40 and 74.
Studies have repeatedly proven the effectiveness of the polypill in preventing CVD. A groundbreaking 2019 study in The Lancet found that five years' use of the polypill cut the risk of heart attack and stroke by a third. In addition, previous modelling analyses have estimated that if given universally to people over 55, the polypill might be able to prevent 80% of heart attacks and strokes.
Today, the NHS Health Check follows a risk-based model in which patients are tested for CVD risk factors and treated with drugs accordingly. Yet, as per UCL's study, this system has serious flaws:
Low Uptake: Just 40% of those eligible for the NHS Health Check choose to have it, leaving a considerable number of at-risk patients undiagnosed and untreated.
Ineffective Prediction of Risk: The majority of heart attacks and strokes happen to people at average risk levels, thus making it challenging to identify the need for intervention effectively.
Limited Effectiveness: Even at maximum take-up, the NHS Health Check programme is predicted to have fewer health impacts compared to a polypill initiative applied to the whole population.
One of the big benefits of the polypill is that it is so easy. In contrast to the existing screening-based model, the polypill scheme would not involve complicated medical tests or lengthy risk assessments. Instead, people reaching 50 would just have to fill out a few questions to determine possible side effects before they were prescribed.
Professor Aroon Hingorani of the UCL Institute of Cardiovascular Science, one of the strongest proponents of this scheme, says:
"Finally, the time is now to do much better on prevention. A population approach would prevent a lot more heart attacks and strokes than is done today with a strategy of trying to target a smaller group only."
Aside from the possible health implications, the polypill is also an economic solution. The drugs used are off-patent, thus cheap to produce and distribute. With the vast economic cost of managing CVD-related illnesses, a preventive model could result in substantial cost-saving for the NHS in the future.
The polypill has been proven to be effective by numerous international trials. In 2019, a randomised trial in rural Iran discovered that participants who took the polypill for five years had a 34% reduced risk of having a heart attack or stroke compared to non-participants.
Likewise, modelling research has indicated that even if only 8% of people aged over 50 took up the polypill regimen, it would still be more beneficial to their health than the NHS Health Check programme.
One of the main objections to the polypill strategy is the suggestion that it might result in the unnecessary medicalisation of a significant proportion of the population. But, it is argued, it should be considered as a preventative measure, not as mass medication.
Professor Sir Nicholas Wald of UCL's Institute of Health Informatics explains:
"Instead of being a 'medicalisation' of a significant proportion of the population, a polypill programme is a prevention measure to prevent an individual from becoming a patient."
He compares it with public health measures like water fluoridation or compulsory seatbelts—interventions that have been shown to have a significant impact in reducing public health danger at low individual cost.
With the evidence in favour of the polypill's effectiveness and viability overwhelming, experts are calling on the NHS to act now. It is their belief that substituting the NHS Health Check with a polypill-based prevention program could be the UK government's flagship policy under its pledge to put disease prevention ahead of cure.
As Professor Hingorani points out, "The status quo is not a justifiable option." With CVD still a major cause of death globally, taking a population-wide polypill approach could be a turning point for preventative medicine, potentially saving thousands of lives annually. The question now is whether the NHS will take up this call and establish a policy with the potential to transform the prevention of cardiovascular disease on a national level.
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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
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
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
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
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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”.
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.
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.
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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.
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.
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:
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.
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