Many of us believe that we are great drinkers and that alcohol does not affect us as much. People who are able to drink without showing any sign of inebriation are known as social drinkers. In short, they are not addicted to alcohol but will not turn down the opportunity to have a good time! While it may seem like it doesn’t affect you, new studies suggest that it is just an illusion, even if you have high tolerance, alcohol affects your cognitive and motor functions more than you think.

The study reveals the below implications and techniques:

• Researchers used a new MRI technique to precisely measure brain electrical activity.
• By comparing brain scans before and after drinking, scientists identified specific areas affected by alcohol and how much brain activity slowed down.
• Participants were chosen to be regular social drinkers without alcohol addiction, ensuring the study focused on the effects of alcohol alone.
• MRI technology provided reliable data on brain activity changes caused by alcohol consumption.

How does the brain react to alcohol?

Think of it as the foundation for your brain's performance. When brain conductivity is high, information flows smoothly, and that helps your brain in rapid processing and response. On the other hand, low conductivity can hinder cognitive function, leading to slower thinking, impaired memory, and difficulties with coordination.

A study conducted at the Neuroscience Research Australia (NeuRA) and UNSW Science unveiled a startling connection between alcohol consumption and brain conductivity.

What is the connection between alcohol consumption and brain activity?

While many people brush off the effects of alcohol as temporary changes in behaviour, the reality is much more complex. Beyond the obvious impacts on coordination and judgment, alcohol significantly alters brain function. Alcohol dramatically slowed down brain activity, especially in areas responsible for decision-making, planning, and physical coordination. This decline was so significant that it resembled the brain changes seen in normal ageing. This means even one drink could temporarily accelerate the ageing process of your brain.

Alcohol and Brain activity: What does the study Imply?

The implications of this research are far-reaching. It provides compelling evidence that alcohol consumption has a direct and measurable impact on brain function. The discovery that alcohol can significantly reduce brain conductivity opens new avenues for understanding the neurocognitive effects of alcohol abuse and dependence. While you may not feel like alcohol is affecting you and you have a high tolerance, it most definitely changes and affects your decision-making abilities and impulse control.

Furthermore, the MRI technique employed in the study could be a valuable tool for assessing the impact of other substances on the brain and for developing interventions to mitigate alcohol-related brain damage.

India is moving closer to its goal of eliminating malaria by 2030. Between 2022 to 2025, 160 districts across the country reported zero indigenous malaria cases, according to the Union Health Ministry.

The country has also saw nearly 80% decline in malaria cases and deaths between 2015 and 2025. The number of districts with high malaria burden also went down from 155 to 33.

The latest figures were discussed at a review meeting chaired by Aradhana Patnaik, Additional Secretary and Mission Director, National Health Mission, with officials from the Ministry of Health and Family Welfare, National Centre for Vector Borne Diseases Control (NCVBDC), states and affected districts.

160 Districts Reported Zero Malaria Cases In Last 3 Years

160 districts reported zero indigenous malaria cases from 2022 to 2025. This is significant as it suggests that local transmission was successfully interrupted in these regions.

But zero reported cases does not mean the risk has vanished completely. Malaria can return when mosquitoes, infected people or favourable environmental conditions fuel transmission. To avoid this, health authorities are vigilantly continuing surveillance even in areas that have made substantial progress.

The government said the reduction in numbers reflects the positive impact of focused malaria control and elimination initiatives and strategies. According to PIB, It including surveillance, early diagnosis, treatment and control measures for vector-borne infections.

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Strategies Needed For Malaria Elimination

Patnaik stressed that India cannot rely on a one-size-fits-all approach as it moves towards elimination. He said, “Focused, area-specific strategies and strengthened surveillance are essential to accelerate India’s progress towards malaria elimination by 2030.”

The Health Ministry has identified 33 high-burden districts across nine states and Union Territories for particularly intensive action. These districts accounted for 64% of India's malaria cases and 54% of malaria deaths in 2025.

The states and UTs reviewed included Mizoram, Odisha, Tripura, Assam, Andhra Pradesh, Andaman and Nicobar Islands, Chhattisgarh, Jharkhand and Maharashtra.

Despite the overall decline, malaria deaths continue to occur, and authorities highlighted that delays in diagnosis and treatment are the primary driving factors.

The government has asked states to strengthen the “Test, Treat and Track” strategy, improve active surveillance and ensure that diagnostic tests and anti-malarial medicines remain available, particularly in remote areas.

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The Real Challenge For India

Malaria is transmitted through the bite of infected Anopheles mosquitoes. The parasite enters the bloodstream and can cause fever, chills, headache and body aches. In severe cases, it can affect the brain and other organs and become life-threatening.

The challenge for India now is not simply reducing cases, but preventing malaria from coming back in districts where transmission has become zero.

Patnaik stressed, “Health interventions alone cannot address several factors contributing to malaria transmission, including water-logging, source reduction and environmental management.”

The government has therefore called for greater coordination with rural and urban development departments, Panchayati Raj institutions and local communities to identify breeding sites and report suspected cases early.

Myocardial infarction (MI) is one of the most common cardiovascular disorders, with an estimated prevalence of 3.8% in individuals aged less than 60 years and 9.5% in those aged over 60 years. MI remains a leading cause of death and is a significant public health concern worldwide.

But a heart attack isn't one single disease with one single mechanism. Being able to classify the type of myocardial infarction quickly can improve diagnosis and treatment.

In view of this, four major cardiac societies—the European Society of Cardiology (ESC), the American College of Cardiology (ACC), the American Heart Association (AHA) and the World Heart Federation (WHF)—have jointly launched the Fifth Universal Definition of Myocardial Infarction.

The Fifth Universal Definition of Myocardial Infarction replaces numerical labels with three clinically meaningful categories.

The new approach aims to help healthcare professionals make more consistent diagnoses and enable patients to understand their condition better.

The new definition also aligns with the International Classification of Diseases (ICD) coding, which captures statistics on the extent, causes and consequences of different diseases.

“People may think of an MI as a heart attack caused by a blocked coronary artery but there are many different causes of MI,” explained ESC Chair, Professor Nicholas Mills from the University of Edinburgh, UK.

“The previous universal definition used a numerical system to categorize the different types of MI but this was not always easy to apply in clinical practice, leading to inconsistencies in diagnosis and treatment. The ESC, ACC, AHA and WHF have worked together to devise an updated and simplified classification system for MI, which aims to address these limitations.”

What Does the Fifth UDMI Mean?

The Fifth Universal Definition of Myocardial Infarction updates the classification to better reflect underlying pathophysiology, align with the clinical evaluation of patients, and incorporate objective diagnostic criteria.

Notably, it could facilitate wider study of less common mechanisms of primary MI, such as spontaneous coronary artery dissection (SCAD), a condition occurring predominantly in women that is currently underdiagnosed.

What Are the 3 New Heart Attack Categories?

The new system considers the underlying cause of MI and aligns the diagnosis with established approaches to clinical evaluation. It recognises that MI occurs in three clinical settings: primary MI, secondary MI and procedure-related MI.

In this updated approach to MI classification, all MIs fit into one of these three clinical categories, and the new document outlines the diagnostic tests and investigations required for each.

1. Primary MI

Primary MI arises spontaneously due to an acute problem in a coronary artery. It is most commonly caused by a rupture of an atherosclerotic plaque, but there are other causes, such as a tear in the coronary wall (spontaneous coronary artery dissection [SCAD]), spasm or a clot.

2. Secondary MI

Secondary MI arises from an imbalance in oxygen supply and demand in the heart caused by another condition, such as very high or very low blood pressure or a very fast heartbeat.

3. Procedure-Related MI

The third setting—procedure-related MI—is one that occurs within 30 days of a cardiac procedure, such as coronary stenting, or a heart operation, such as coronary artery bypass surgery.

“Clinicians often do not use the previous numerical terminology—e.g. type 2 or type 4c—in patient discussions as it is rather complex. With the new approach, we can now talk with patients about the cause of their MI so that they can understand their condition and recognize why the next steps, such as further tests and treatments, are needed,” said ACC/AHA Chair, Professor Kristin Newby from Duke University Medical Center, Durham, US.

A new artificial intelligence tool could turn a routine heart test into an effective early warning system for serious cardiac emergencies. Doctors have developed an AI tool for analysing an electrocardiogram (ECG). It could study ECG in less than two seconds and identify signs of heart valve disease that may not be visible to the trained human eye.

Developed by researchers at Imperial College London, the AI tool was trained on millions of ECGs and presented at the European Society of Cardiology Congress 2026 in Munich.

In a human trial involving around 67,000 US patients, it was able to detect signs of heart valve disease with up to an astonishing 90% accuracy and heart failure with up to 81% accuracy.

How Can An ECG Reveal A Valve Problem?

A standard ECG records the heart's electrical activity. Traditionally, it has been used to identify heart problems like irregular heart rhythms, but these electrical patterns, according to researchers, can contain signs about the heart's overall structure and function.

The AI looks for patterns across the ECG that may be too complex or subtle for a clinician to recognise visually.

That means the machine isn't simply reading the obvious peaks and dips on an ECG. It is looking for hidden patterns buried within the electrical signal.

Researchers say this could allow routine ECGs, which are already performed millions of times, to flag people who may have an underlying structural heart problem.

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AI Tool Delivered Accurate Results Within Two Seconds

The results are particularly striking for heart valve disease as the AI tool achieved accuracy of up to 90% in identifying cases.

Heart valve disease occurs when one or more of the heart's valves become narrowed or fail to close properly. This can disrupt the normal flow of blood through the heart.

Some people may have few or no symptoms initially. As the disease progresses, however, it can cause breathlessness, fatigue, chest discomfort, dizziness and swelling, and severe disease can eventually lead to heart failure.

A patient suspected of a heart emergency often requires an ECG, an ultrasound scan that allows doctors to see the heart's chambers and valves. Waiting times for such tests can be long, meaning some patients may remain undiagnosed. The AI could therefore work as a effective tool, identifying people who should be prioritised for echocardiogram.

The AI can analyse an ECG in under two seconds, compared to the much longer process of patients being referred for additional cardiac tests.

Dr Ahmed El-Medany, the British Heart Foundation clinical research fellow who led the Imperial College London analysis, described the tool as a "superhuman AI". The phrase has become shorthand for the project. He also said the next challenge is designing portable AI-based ECG readers.

Dr Sonya Babu-Narayan, consultant cardiologist and BHF clinical director, said she found it exciting to see AI deliver results from an ECG in "what feels like the blink of an eye."

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The technology is being developed as an extra layer of screening. A positive AI result would not mean that someone definitely has heart valve disease. Instead, it could signal that the patient needs a more definitive investigation, such as an echocardiogram.

Heart disease can remain hidden for years before symptoms become obvious. A routine ECG is already a familiar, relatively quick and inexpensive test. If AI can study additional data from that same test, it could help doctors in identifying people who otherwise might not have been investigated and treated further.