Cancer Detection

Treating aggressive cancers that do not respond to standard therapies remains one of the most significant challenges in oncology. Among these are basal-like breast cancers (BLBC), which lack hormone receptors and HER2 amplification. This makes them unsuitable for many existing targeted treatments. As a result, therapeutic options are limited, and patient outcomes are often poor.

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SAMP-Score: a morphology-based machine learning classification method for screening pro-senescence compounds in p16 positive cancer cells

The paper featured on the cover of this issue of Aging-US, published on October 30, 2025, entitled “SAMP-Score: a morphology-based machine learning classification method for screening pro-senescence compounds in p16-positive cancer cells,” represents an important methodological and conceptual advance at the interface of senescence biology, imaging and drug discovery.

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Volume 17, Issue 11

Senescence identification is rendered challenging due to a lack of universally available biomarkers. This represents a bottleneck in efforts to develop pro-senescence therapeutics – agents designed to induce the arrest of cellular proliferation associated with a senescence response in cancer cells for therapeutic gain.

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Digital Rendering of a Lab Rat Investigating a Stylized Brain, Showcasing Scientific Innovation and Research in a Modern Laboratory Environment

Synucleinopathies are a group of age-related neurological disorders, including Parkinson’s disease, dementia with Lewy bodies, and multiple system atrophy. Most individuals are not diagnosed until these diseases have significantly progressed, as early symptoms, such as a reduced sense of smell, subtle cognitive or motor changes are too vague to serve as reliable indicators. 

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