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Oncologists base prognosis, the predicted long-term outcome of an individual’s cancer, on the chances of recovery versus the chances of experiencing a recurrence or failure to respond to interventions. A clear understanding of prognosis can significantly influence treatment planning, lifestyle, and overall quality of life of a cancer patient. Thus, ongoing research to uncover, validate, and optimize the predictive accuracy of prognostic factors, modifiable or non-modifiable characteristics that help estimate prognosis, has significant value to areas of cancer treatment and care.

A meta-analysis recently published in the International Journal of Gynecological Cancer evaluated the value of different prognostic factors for epithelial ovarian cancer, an aggressive and deadly cancer occurring in the tissue lining women’s ovaries.

Epithelial ovarian cancer represents a highly fatal disease, with an estimated 19,680 new cases and 12,740 deaths in the United States in 2024. Diagnosis of ovarian cancer remains challenging, and as a result, most women with ovarian cancer have advanced-stage disease. Once advanced, ovarian cancer may spread into the peritoneum, the tissue lining the abdominal wall and pelvic cavity, making it difficult to identify small lesions and fully assess the condition.

GPT4 can score better than 95% of the average human on aptitude tests.

The GPT-4 language model recently completed the Scholastic Aptitude Test (SAT), achieving a verbal score of 710 and a math score of 690, resulting in a combined score of 1400. Based on U.S. norms, this corresponds to a verbal IQ of 126, a math IQ of 126, and a full-scale IQ of 124. If taken at face value, one might conclude that GPT-4 surpasses 95% of the American population in intelligence and is approximately as intelligent as the average doctoral degree holder, medical doctor, or attorney.

However, the question remains: Is administering an IQ test to GPT-4 a valid undertaking or a significant categorization mistake?

Graphene has been called “the wonder material of the 21st century.” Since its discovery in 2004, the material—a single layer of carbon atoms—has been touted for its host of unique properties, which include ultra-high electrical conductivity and remarkable tensile strength. It has the potential to transform electronics, energy storage, sensors, biomedical devices, and more. But graphene has had a dirty little secret: it’s dirty.

New symptoms such as failing to identify more than one object at a time and a “space perception deficit” could be the first signs of Alzheimer’s disease, a new study has found.

Posterior cortical atrophy (PCA), is a diagnosis for those who struggle with judging distances, distinguishing between moving and stationary objects and completing tasks like writing and it overwhelmingly predicts Alzheimer’s.

In the latest study from researchers at the University of California, San Francisco, some 94 per cent patients with PCA had Alzheimer’s pathology. Most patients with PCA have normal cognition early on, but by the time of their first diagnostic visit, an average 3.8 years after symptom onset, mild or moderate dementia was apparent with deficits identified in memory, executive function, behavior, and speech and language , according to the researchers’ findings.