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As oncology care grows personalized and home-based, support around treatment becomes as vital as treatment.
Novel approaches are urgently needed to improve availability of diagnostic assays, and recent efforts have shifted toward uncovering the biological pathways and molecular profiles...
Precision medicine has long promised a future in which a patient’s treatment is tailored to the molecular signatures written into their genome, transcriptome, epigenome, proteome a...
The partnership builds on OpenEvidence's vision to develop “medical super-intelligence” based on agentic artificial intelligence, or a system of AI agents that can be subspecialist...
RNA sequencing and AI help identify tumor-specific alternative splicing events that may reveal new precision oncology targets across solid tumors...
Predicting whether a cancer patient will respond to therapy has long been one of oncology’s most consequential gambles. For people with metastatic non-small cell lung cancer, the m...
From: oncodaily.com Brain metastases remain one of the most difficult complications of metastatic breast cancer. Approximately 30% of patients with metastatic disease will eventual...
Researchers analyzed mulitomic and clinical data from 2000 colorectal cancer samples and used an AI tool, iPhenMap, to help identify cancer cell vulnerabilities and drug combinatio...
by Alejandra Paja-García, Rafael Romero-Becerra, Tero Aittokallio, Alberto López Pancreatic ductal adenocarcinoma (PDAC), with a 12% 5-year survival rate, is the most aggressive t...
Why diagnostic-driven therapies need a new commercialization model to reach more eligible patients.
Years of joint industry-academic engineering suggest that highly engineered single agents will not be the most effective treatments for solid tumors; the solution will be combining...
“What was cancer, Grandpa?” These were words I hoped to hear from my grandchildren. As a practicing physician for over forty-five years, I wasn’t sure whether futuristic care would...
Agentic AI is closing oncology's data gaps — from drug discovery to survivorship. See how AI agents in healthcare are reshaping cancer care today.
First Phase 1 data for sofetabart mipitecan, Lilly's investigational FRО±-targeting ADC, in platinum-sensitive ovarian cancer to be featured in a rapid oral presentation
Delve into Labiotech's October oncology roundup and find out about the news that caught our attention this last month. The post Oncology biotech news: key moves to watch in October...
AcademyHealth Releases Strategic Roadmap for Advancing Cancer Biomarker Testing at Scale For patients facing uncertainty or fear around a cancer diagnosis, cancer biomarker...
Mayo Clinic recently launched Precure with founding partner Thermo Fisher Scientific to help transform how the life sciences community understands the biological changes that occur...
We have long treated cancer based on its location in the body. But a whole new approach that analyses tumours differently is now helping people survive forms of cancer that were on...
Short-read RNA sequencing reporting the modifications that alter protein output is starting to make epitranscriptomics indispensable for patient selection in precision medicines. T...
Case study finds nearly 9 in 10 actionable cancer data points existed only in unstructured text invisible to standard EMR reporting; OncoLens Analytics helped the center lift on-ti...
RNA sequencing of urine cell-free RNA can detect bladder cancer, monitor residual disease and help predict whether patients may respond better to immunotherapy or chemotherapy...
The AI-powered virtual cell tailors treatments for breast cancer based on samples of each patient's tumor. The post A Digital Cell Predicts Which Drugs Will Be Most Effective in De...
The concept of targeted therapeutics is often traced back to German Nobel laureate Paul Ehrlich’s “magic bullet” in 1907, which envisioned a single entity that could both recognize...
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