Our Mission: Highlighting Innovations by showcasing breakthroughs in cancer research, including diagnostic tools, therapies, and preventive measures.

Personalized & Precision Medicine

Personalized and precision medicine tailors cancer treatment based on an individual’s genetic profile, tumor characteristics, and lifestyle factors. This approach enhances treatment effectiveness, minimizes side effects, and improves patient outcomes through targeted therapies and advanced diagnostics.

MEDICAL XPRESS

Disrupting the RBM42 protein could throw a wrench in the gears of cancer’s growth

For decades, scientists have tried to stop cancer by disabling the mutated proteins that are found in tumors. But many cancers manage to overcome this and continue growing. Now, UCSF scientists think they can throw a wrench into the fabrication of a key growth-related protein, MYC, that escalates wildly in 70% of all cancers. Unlike some other targets of cancer therapies, MYC can be dangerous simply due to its abundance.

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Bio Spectrum Asia

Accelerating Cancer Treatment with Precision Medicine & NGS

Asia accounts for nearly half of global cancer cases, making it a major health concern. Recognising the promise of precision oncology, governments across the region have initiated efforts to drive advancements in this space. Let’s take a closer look at the progress being made in precision oncology in the Asia Pacific region.

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MEDICAL XPRESS

Biomarker predicts KRASG12C inhibitor success in lung cancer treatment

A new study from Moffitt Cancer Center could help doctors predict how well patients with a specific type of lung cancer will respond to new therapies. The research, published in Clinical Cancer Research, found that measuring the interaction between two proteins, RAS and RAF, could provide valuable insights into the effectiveness of treatments for patients with KRASG12C-mutant non-small cell lung cancer, a type of lung cancer known for being particularly difficult to treat.

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Translational Medicine Biomed Central

The clinical application of artificial intelligence in cancer precision treatment – Journal of Translational Medicine

Background Artificial intelligence has made significant contributions to oncology through the availability of high-dimensional datasets and advances in computing and deep learning. Cancer precision medicine aims to optimize therapeutic outcomes and reduce side effects for individual cancer patients. However, a comprehensive review describing the impact of artificial intelligence on cancer precision medicine is lacking. Observations By collecting and integrating large volumes of data and applying it to clinical tasks across various algorithms and models, artificial intelligence plays a significant role in cancer precision medicine. Here, we describe the general principles of artificial intelligence, including machine learning and deep learning. We further summarize the latest developments in artificial intelligence applications in cancer precision medicine. In tumor precision treatment, artificial intelligence plays a crucial role in individualizing both conventional and emerging therapies. In specific fields, including target prediction, targeted drug generation, immunotherapy response prediction, neoantigen prediction, and identification of long non-coding RNA, artificial intelligence offers promising perspectives. Finally, we outline the current challenges and ethical issues in the field. Conclusions Recent clinical studies demonstrate that artificial intelligence is involved in cancer precision medicine and has the potential to benefit cancer healthcare, particularly by optimizing conventional therapies, emerging targeted therapies, and individual immunotherapies. This review aims to provide valuable resources to clinicians and researchers and encourage further investigation in this field.

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