All articles tagged with #early detection
Kylie Minogue reveals in her self-titled Netflix documentary that she privately faced a second cancer diagnosis in early 2021, more than 15 years after her 2005 breast cancer battle. She says early detection helped her recover, she kept it private at the time, and she's well today while continuing to let music drive her.
With colorectal cancer rising among younger adults, doctors outline three in-30s actions: eat a fiber-rich, minimally processed diet and stay physically active to maintain a healthy weight; take persistent GI symptoms seriously and discuss family history with your doctor; and consider early, proactive screening—using stool- or blood-based tests as noninvasive options alongside colonoscopy—especially if you have risk factors or a family history.
Johns Hopkins researchers have developed an AI-powered liquid biopsy that analyzes genome-wide patterns of cell-free DNA fragments to detect liver fibrosis and cirrhosis years before symptoms, using about 40 million fragments across thousands of genomic locations including repetitive DNA regions. The fragmentome-based approach, aided by machine learning, aims to identify early liver disease and potentially other chronic conditions beyond cancer. The liver-disease classifier is still a prototype and not yet clinically available; validation is ongoing. If validated, earlier detection could enable interventions to reverse fibrosis and reduce liver-cancer risk for millions at elevated risk in the U.S.
Researchers describe a trio of advances against pancreatic cancer: a drug targeting a key cancer-driving gene, a personalized mRNA vaccine, and an AI imaging tool that can flag cancer years earlier than typical diagnoses. A Mayo Clinic study suggests the AI system could detect pancreatic cancer up to three years before diagnosis, with about 85% overall accuracy and sensitivity higher than radiologists in earlier scans. While promising, experts caution that such tools must be applied to high‑risk populations to avoid false positives and that more work is needed before broad clinical adoption.
An AI system named REDMOD analyzes routine abdominal CT scans to reveal ultra-early, radiomics-based tissue changes linked to pancreatic ductal adenocarcinoma, identifying cancer on average 475 days before diagnosis and outperforming expert radiologists in sensitivity (73% vs 39%). It includes automated pancreas segmentation and was tested across multiple cohorts, achieving ~81% cancer-free accuracy and 87.5% in NIH-PCT data; similar results were reproduced on repeated scans in 90–92% of cases. While promising, it requires prospective validation and testing in high-risk groups before clinical deployment, and time-to-diagnosis improvements could shift detection toward stage 0 and improve survival.
Mass General Brigham and Dana-Farber are expanding early cancer-detection programs, including genetic testing and blood-based screenings, as they push prevention and early intervention even as the institutions’ looming split raises questions about value, cost, and patient anxiety; experts caution that not all tests are proven and the benefits must be weighed against potential harms in a growing multicancer-detection market.
An AI model developed at Mayo Clinic detected abnormalities on CT scans up to three years before a pancreatic cancer diagnosis, outperforming radiologists by about threefold; the approach could guide early screening for high‑risk individuals, but it’s still in clinical trials and not yet public, as researchers pursue earlier detection alongside other advances in pancreatic cancer treatment.
Researchers at Mayo Clinic and MD Anderson developed REDMOD, an AI radiomics model that analyzes CT scans to detect pancreatic cancer years before diagnosis, flagging 46 of 63 pre-diagnosis cases (about 73%) an average of 16 months early (some up to 3 years) and outperforming radiologists, who identified signs in 38.9% of cases. The system also produced 81 false positives among 430 healthy controls. While promising across multiple datasets, researchers caution that larger, more diverse validation and smoother clinical integration are needed before use in routine care.
Researchers from UCL analyzed gut microbes in more than 1,400 participants across the UK, Korea, and Turkey and found distinct microbiome patterns linked to Parkinson's risk, including in non-symptomatic GBA1 carriers; a diverse diet correlated with lower risk profiles, but the study is observational and cannot prove causation, though it supports the gut-brain axis as a potential avenue for early detection and treatment.
A Mayo Clinic study of 2,082 participants found two broad windows where dementia-related changes begin long before diagnosis: cognition and amyloid changes start in the 50s–60s, followed by tau changes and blood biomarkers (GFAP, NfL, p-tau) in the late 60s to early 70s, along with brain atrophy. This could enable earlier detection and screening approaches, even though no single test currently exists.
Mayo Clinic researchers developed an AI-assisted CT scan model that can detect pancreatic cancer up to three years before diagnosis, identifying prediagnostic cancers at nearly double the rate and three times more effective more than two years ahead, potentially widening opportunities for curative treatment; the findings appear in Gut as part of the Precure initiative.
A Danish study of nearly 50,000 adults with a first-time seizure (average age ~50) found an association with a higher short-term risk of brain cancer within a year, and also an increased risk of non-neurological cancers, underscoring that a first seizure warrants urgent medical evaluation since tumors can provoke seizures even before other symptoms.
Duke Health researchers trained an AI model on electronic health records from birth through early childhood (over 140,000 children) and found it can accurately estimate a child’s risk of an ADHD diagnosis by age 5, serving as a 'clinical safety net' to prompt earlier screening and interventions. The tool does not diagnose but helps clinicians identify kids who should be prioritized for evaluation, with consistent accuracy across sex, race, ethnicity, and insurance status, potentially reducing disparities and improving long-term outcomes.
Santa Barbara native Shira Kupperman Boehler shares her 2025 lung cancer diagnosis (Stage 1, non-smoker, no symptoms) after a preventive MRI and follow-up CT, her successful surgery, and a broader mission to raise awareness and expand access to early-detection screening through her book One Scan Saved My Life and the Cancer Doesn’t Care foundation, advocating for expanded screening guidelines and even pairing lung scans with mammograms to save lives.
Researchers studying noma patients in Nigeria identified a previously undescribed Treponema bacterium (Treponema A) in most samples, suggesting a possible causal or contributory role and raising the possibility of diagnostic tests at the gingivitis stage and targeted antibiotics to prevent progression. If confirmed, this could reduce mortality and lifelong disfigurement and lessen reliance on broad-spectrum antibiotics; a larger, multi-country study is planned to clarify Treponema A’s role.