Tempus, Seidman Cancer Center Partner Up
Tempus and the University Hospitals Seidman Cancer Center have joined together to improve research and healthcare by making genomic data, advanced molecular analysis and clinical decision support tools available to the hospital’s researchers, physicians and healthcare providers.
As part of the new collaboration, Tempus will provide genomic and transcriptomic sequencing and analysis for ovarian and triple negative breast cancer patients. Tempus will help physicians analyze these data sets to identify patterns and potentially actionable treatments by utilizing bioinformatics and its machine learning platform.
“Over the last couple of decades, technology has transformed much of our daily lives and it is time we bring these advances into the clinic,” said Eric Lefkofsky, Co-founder and CEO of Tempus. “As we work to modernize cancer care, we are proud to bring the Tempus operating system and analytics platform to UH Seidman Cancer Center, empowering its physicians to make data-driven decisions tailored to its patients.”
UH Seidman Cancer Center, based in Cleveland, Ohio, is part of the Case Comprehensive Cancer Center at Case Western Reserve University¬ – one of 45 Comprehensive Cancer Centers in the U.S. designated by the National Cancer Institute. UH Seidman Cancer Center, which opened a 120-bed freestanding cancer hospital in 2011, is dedicated to innovative treatments and leading-edge clinical research through more than 300 ongoing studies aimed at cancer treatment and prevention.
“At UH Seidman Cancer Center, we are committed to innovation and staying on top of the latest treatment protocols and advanced decision-support tools that can assist our physicians,” said Stanton L. Gerson, Director of UH Seidman Cancer Center and Case Comprehensive Cancer Center. “We are pleased to partner with Tempus, a company that shares our commitment to innovation and bringing the power of technology into clinic.”
Tempus provides sequencing and analysis for top academic centers, hospital systems, associations, and healthcare providers.
Computer Program Helps Find Ways to Repurpose Existing DrugsNews
Researchers have developed a computer program to find new indications for old drugs. The computer program, called DrugPredict, matches existing data about FDA-approved drugs to diseases, and predicts potential drug efficacy.READ MORE
Big Data From Social Media Helps Combat Prescription Drug CrisisNews
Researchers have conducted a critical review of existing literature to determine whether social media big data can be used to understand communication and behavioral patterns related to prescription drug abuse.READ MORE
Machine Learning: Helping Determine How a Drug Affects the BrainNews
Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published today in Brain.READ MORE