8 citations,
August 2020 in “PLOS Computational Biology” A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
7 citations,
August 2020 in “Current topics in medicinal chemistry” New cancer treatments aim to reduce side effects and improve effectiveness.
7 citations,
August 2019 in “Bioorganic & medicinal chemistry” Analog 23 is a promising compound for prostate cancer treatment.
4 citations,
January 1977 The book concludes that despite progress, cancer drug treatments have not met the expectations set in the 1960s and 1970s.
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December 2023 in “Current Pharmaceutical Biotechnology” Nanocarriers can improve the effectiveness of herbal medicines in treating colorectal cancer.
2 citations,
September 2010 in “Journal of the Dermatology Nurses’ Association” Transplant patients on immunosuppressive medications have a higher risk of skin cancer, and managing this involves balancing medication with cancer risk.
1 citations,
October 2021 in “Jundishapur Journal of Natural Pharmaceutical Products” Ficus carica leaf extract may help treat melanoma by promoting cancer cell death without harming normal cells.
1 citations,
March 2021 in “F1000Research” Plant-based compounds might be effective, low-side-effect treatments for prostate cancer by blocking a specific enzyme.
April 2024 in “Journal of cancer research and clinical oncology” Tissue-derived extracellular vesicles are crucial for cancer diagnosis, prognosis, and treatment.
March 2024 in “BMC cancer” High levels of ST14 and TMEFF1 proteins in ovarian cancer are linked to worse patient outcomes and may be a new treatment target.