University of Texas MD Anderson Cancer Center

Houston, Texas, United States All United States companies → — Founded 1941

AI Research Lab Biotech / Drug Discovery Specialty-Focused AI

Oncology

Oncology AI Radiology & Imaging AI

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Radiation Planning Assistant (RPA)

UT MD Anderson Cancer Center

Oncology AI

The Radiation Planning Assistant (RPA) is a web-based AI tool from MD Anderson Cancer Center that automates contouring and treatment planning for radiation therapy, aiming to enhance access to care, especially in resource-limited settings.

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About University of Texas MD Anderson Cancer Center

The University of Texas MD Anderson Cancer Center is a leading institution dedicated to eradicating cancer through integrated programs in patient care, research, education, and prevention. It is recognized as one of the world’s largest and most respected cancer centers, consistently ranking among the top hospitals for cancer care. MD Anderson actively leverages artificial intelligence (AI) and data science to enhance patient care, accelerate discoveries, and improve outcomes. This includes applications in medical note transcription, clinical decision support, personalized treatment planning, and predictive health analytics. The institution emphasizes a data-driven approach, focusing on data quality and governance to fuel AI systems and models effectively.

MD Anderson’s commitment to AI extends to collaborations with other entities, such as its partnership with SOPHiA GENETICS to advance AI in cancer diagnostics and research. This collaboration aims to develop new data-driven tools for analyzing genomic information, interpreting RNA sequencing data, and tracking tumor evolution in real-time to match patients with appropriate therapies or clinical trials. The institution’s Institute for Data Science in Oncology (IDSO) integrates advanced computational and data science approaches with its clinical and scientific expertise to transform cancer care and research. Through these initiatives, MD Anderson seeks to bring efficiencies to patient care, precision to treatment, and quicker access to novel drugs.

MD Anderson’s research efforts are extensive, encompassing basic science, translational research, clinical research, and prevention and personalized risk assessment. The institution conducts the largest cancer clinical trial program globally and has a significant focus on cancer prevention. Its research groups cover a broad spectrum of disciplines, from genetics and immunology to cell biology and biochemistry. The institution also has various centers and programs dedicated to specific disease research and interventions to improve quality of life for cancer patients.

Focus Areas

Cancer patient care research education prevention AI in diagnostics treatment planning drug discovery precision oncology data science computational modeling genomic analysis digital health immunotherapy cell therapies

Business Intelligence

Technology

AI algorithms, GPU technologies, bioinformatics pipelines, generative AI, deep learning, AI operating system (SOPHiA DDM platform through partnership)

What Physicians Need to Know

Cancer Patient Care

MD Anderson provides comprehensive, patient-centered care, treating over 175,000 patients annually for more than 400 types of cancer. They offer specialized care with physicians focusing exclusively on oncology, often refining initial diagnoses from other institutions by up to 25%. Services extend beyond treatment to include extensive patient and caregiver support programs, mental wellness initiatives, and patient navigation services.

Research & Education

As a global leader, MD Anderson consistently ranks #1 in cancer care and research, holding the highest number of cancer clinical trials worldwide and receiving more NCI-funded projects than any other U.S. institute. Their robust research environment fosters translational science, rapidly moving laboratory discoveries to clinical application. They also offer extensive education and training programs, including residency and fellowship programs, and graduate degrees, to develop future oncology experts.

AI in Diagnostics & Treatment Planning

MD Anderson leverages AI for enhanced diagnostics, including early detection of pancreatic cancer and improved contouring for brachytherapy treatment planning and quality assessment using GPU technologies like NVIDIA DGX systems. They are developing AI models to analyze imaging studies (CT, MRI, endoscopic ultrasound) for early tumor detection and to predict which cases are likely to become malignant.

Drug Discovery & Precision Oncology

The institution is at the forefront of precision oncology, utilizing genomic analysis to tailor therapies. They have a Precision Oncology Decision Support (PODS) platform within The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, which helps oncologists identify actionable genetic alterations and match patients to appropriate treatments and clinical trials. Collaborations, such as with SOPHiA GENETICS, accelerate AI-driven precision oncology, developing novel sequencing oncology tests and bioinformatics pipelines for rapid interpretation of complex molecular data.

Immunotherapy & Cell Therapies

MD Anderson is a pioneer in immunotherapy, particularly cell-based therapies like CAR T-cell, tumor-infiltrating lymphocyte (TIL) therapy, and dendritic cell (DC)-based therapy. Their Institute for Cell Therapy Discovery & Innovation focuses on expanding these therapies, including 'off-the-shelf' CAR NK cells, to treat solid tumors and enhance effectiveness through advanced genetic and bioinformatic approaches.

Data Science & Computational Modeling

The Institute for Data Science in Oncology (IDSO) integrates data science and computational modeling to generate clinically meaningful insights from vast quantities of data. They are actively pursuing 'digital twins' u2013 virtual models of patient tumors and organ systems u2013 to simulate treatment responses and guide personalized care. This involves multiscale modeling of cancers from atomic to patient level.

Genomic Analysis

The Department of Genomic Medicine focuses on advancing precision cancer care through deciphering cancer genomics, characterizing somatic epi/genomic alterations and germline variations, and understanding the interplay between genomics and anti-tumor immune responses. They are developing next-generation sequencing oncology tests and bioinformatics pipelines to interpret complex RNA-sequencing data for diagnosis and treatment.

Digital Health

MD Anderson is integrating digital health technologies, including mobile apps and telemedicine, to personalize care, improve accessibility, and enhance treatment outcomes. They use engagement tools, such as patient apps for tracking progress and text reminders, to ease the burden of navigating the healthcare system and provide information tailored to individual patient needs.

Physician Tip

For referring physicians, MD Anderson offers unparalleled expertise in rare and complex cancers, with a multidisciplinary team approach ensuring comprehensive care. Access to the world's largest cancer clinical trials program means patients can receive cutting-edge investigational therapies. The integration of advanced AI in diagnostics, treatment planning, and precision oncology decision support (like the PODS platform) provides data-driven insights for optimal patient management. Collaboration opportunities in research and access to their extensive educational programs can also be highly beneficial for professional development and patient outcomes. Their focus on translational research ensures that the latest scientific breakthroughs are rapidly applied to patient care.

MD Anderson actively integrates advanced technologies and platforms for data science and AI. They utilize cloud-native systems (e.g., SOPHiA DDM) for analyzing complex healthcare data and have collaborations with technology partners like SOPHiA GENETICS and Palantir for data integration and AI-powered analytics. Their internal Institute for Data Science in Oncology (IDSO) focuses on building a robust data foundation, including data warehousing, NLP capabilities, and secure data collaborations. This indicates a readiness for integrating diverse data sources and collaborating on advanced computational tools, which could be relevant for external systems seeking to exchange patient data, research findings, or integrate AI-driven decision support tools, while maintaining strict data governance and security.

Products by University of Texas MD Anderson Cancer Center

1 product in the directory

Radiation Planning Assistant (RPA)

UT MD Anderson Cancer Center

Oncology AI

What the Web Says

The University of Texas MD Anderson Cancer Center is widely recognized as a leading institution for cancer care, research, and education. It consistently ranks as a top hospital for cancer treatment and is praised for its advanced technology, coordinated care, and dedicated staff. While patient care receives high marks, some employer reviews highlight challenges with management and heavy workloads.

Overall: Positive