61 questions answered from cited research · Plain language
Yes, bibliometric data and recent studies confirm that research interest in macrophage polarization strategies for prostate cancer has been growing steadily since 2015.
Read the full answer →AI models analyze your biopsy images, genetic data, and PSA levels to predict cancer outcomes like survival and recurrence, helping guide treatment decisions.
Read the full answer →Micro-ultrasound and mpMRI detect clinically significant prostate cancer at similar rates, so neither is clearly better; your choice depends on availability and your doctor's recommendation.
Read the full answer →Yes, PSA levels measured at 6, 12, and 24 weeks after starting hormone therapy can help predict long-term survival in prostate cancer patients.
Read the full answer →High TMAO levels in colitis-associated colorectal cancer are linked to worse survival, including higher all-cause mortality and recurrence risk.
Read the full answer →Yes, home-based exercise may reduce anxiety and fatigue in colorectal cancer patients, but the evidence is low certainty and more research is needed.
Read the full answer →Treating immune-excluded or cold cancer tumors requires converting them into 'hot' tumors using immunogenic cell death strategies like chemotherapy, radiation, or nanoparticles to boost immune cell infiltration.
Read the full answer →For cancer patients, disease-specific tools like SCOPE-C, G-8, and VES-13 help predict risk, but general tools lack cross-cultural validation and emotional-cognitive integration.
Read the full answer →Yes, mindfulness-based interventions can help reduce stress for family caregivers of cancer patients, according to systematic reviews and meta-analyses.
Read the full answer →Post-traumatic growth is common in breast cancer patients and is linked to better coping, resilience, and psychological well-being, with interventions showing promise in fostering it.
Read the full answer →Yes, deep learning algorithms can match or outperform junior radiologists in detecting breast cancer on certain imaging tests, though senior radiologists still perform similarly.
Read the full answer →In-person group sessions that include cooking classes, grocery store visits, and social activities significantly increased fruit and vegetable intake in Latina breast cancer survivors.
Read the full answer →Yes, deep learning can detect breast cancer on imaging with accuracy similar to radiologists, but it is not yet a replacement and requires further validation.
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