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science/health

How Cancer Cells Self-Damage Their DNA to Fuel Tumor Evolution

A growing body of research suggests that cancer cells may be their own worst enemy when it comes to DNA integrity. The intense activity of growth-promoting genetic switches—powerful mechanisms that keep cancer cells multiplying—can inadvertently cause breaks in the cell's own DNA. When this damage occurs,

Researchers Identify Genetic Warning Signs for Blood Cancer Years Before Symptoms Appear

Research is increasingly showing that blood cancers may not emerge as suddenly as once believed. Scientists have found that genetic mutations associated with blood cancers can often be detected years—even a decade—before patients develop noticeable symptoms. This discovery represents a significant shift in how researchers understand cancer development.

Researchers Identify Two Previously Unknown 'Ghost' Ancestors in Human DNA

A new study has identified two previously unknown genetic lineages that contributed to modern human DNA, joining the already known Neanderthal and Denisovan contributions to our ancestry. Researchers analyzing ancient and modern human genomes discovered traces of two "ghost" populations—so called because no fossil evidence has been

Technology News

FBI Issues Warning After Water Facilities in Seven States Report Cyberattacks

The FBI has issued a warning after water and wastewater facilities from seven states reported being targeted by cyberattacks. The alert underscores persistent vulnerabilities in the United States' critical infrastructure, particularly at the municipal level where cybersecurity resources are often limited. Water treatment facilities represent attractive targets for malicious

How AI Is Bringing Us Closer to Catching Multiple Cancers Early

Detecting cancer early often relies on type-specific tests—mammograms for breast cancer, colonoscopies for colorectal cancer, and so on. But what if one screening strategy could flag signs of several cancers at once? This idea, sometimes called multi-cancer early detection, has long been a goal in oncology, and artificial intelligence

AI Identifies Cardiac Death Risk Through Standard EKG Readings

A research team has demonstrated that artificial intelligence can analyze standard electrocardiogram (EKG) data to identify patients at risk of sudden cardiac death, offering a new screening approach that leverages widely available medical equipment. The study found that AI models trained on EKG waveforms detected subtle patterns associated with elevated

Routine Clinical Data Shown to Build More Accurate Neuroimaging AI Models

Researchers have demonstrated that AI models designed to analyze neuroimaging data perform significantly better when trained on routine health system data rather than traditional curated research datasets. The study, published in Nature Medicine, found that models learning from everyday clinical records captured greater population diversity and produced more generalizable results.