2023 in Review
Health Research Study + Innovation: A Juncture
Palantir Factory has long been instrumental in accelerating the research study searchings for of our health and life science partners, assisting accomplish extraordinary insights, improve data gain access to, boost information usability, and facilitate innovative visualization and evaluation of data resources– all while safeguarding the privacy and safety and security of the support data
In 2023, Foundry supported over 50 peer-reviewed publications in well-regarded journals, covering a varied variety of topics– from medical facility operations, to oncological medicines, to finding out modalities. The year prior, our software sustained a record number of peer-reviewed publications, which we highlighted in a prior blog post
Our companions’ foundational financial investments in technological facilities throughout the top of the COVID- 19 pandemic has made the outstanding quantity of magazines feasible.
Public and industrial health care partners have proactively scaled their financial investments in data sharing and study software application past COVID response to develop a much more detailed information foundation for biomedical study. For instance, the N 3 C Enclave — which houses the information of 21 5 M patients from throughout almost 100 organizations– is being utilized daily by hundreds of scientists throughout agencies and organizations. Provided the intricacy of accessing, organizing, and taking advantage of ever-expanding biomedical data, the need for similar study sources continues to rise.
In this post, we take a closer look at some noteworthy magazines from 2023 and examine what exists in advance for software-backed study.
Emerging Technology and the Acceleration of Scientific Research
The influence of brand-new modern technologies on the scientific business is speeding up research-based results at a previously impossible scale. Arising modern technologies and progressed software application are aiding create extra exact, organized, and accessible information properties, which consequently are enabling scientists to take on significantly intricate clinical obstacles. Particularly, as a modular, interoperable, and versatile system, Shop has actually been used to support a varied series of clinical researches with special research study functions, including AI-assisted therapeutics recognition, real-world evidence generation, and more.
In 2023, the market has also seen an exponential development in passion around making use of Expert system (AI)– and specifically, generative AI and big language designs (LLM)– in the wellness and life scientific research domains. Alongside other core technological innovations (e.g., around information top quality and usability), the potential for AI-enabled software program to accelerate clinical study is a lot more promising than ever. As a commercial leader in AI-enabled software, Palantir has gone to the leading edge of searching for responsible, safe, and effective means to apply AI-enabled capacities to support our partners throughout sectors in accomplishing their most important missions.
Over the past year, Palantir software helped drive essential elements of our partners’ research and we stand prepared to proceed collaborating with our companions in government, sector, and civil culture to take on one of the most important obstacles in health and science ahead. In the following area, we provide concrete instances of how the power of software application can assist breakthrough scientific study, highlighting some crucial biomedical magazines powered by Factory in 2023
2023 Publications Powered by Palantir Shop
Along with a number of essential cancer and COVID treatment research studies, Palantir Shop likewise made it possible for new findings in the broader field of study method. Listed below, we highlight an example of a few of the most impactful peer-reviewed write-ups released in 2023 that utilized Palantir Foundry to help drive their research.
Recognizing new effective drug mixes for several myeloma
- Magazine : Cancer Letters
- Authors : Peat, T.J., Gaikwad, S.M., Dubois, W., Gyabaah-Kessie, N., Zhang, S., Gorjifard, S., Phyo, Z., Andres, M., Hughitt, V.K., Simpson, R.M., Miller, M.A., Girvin, A.T., Taylor, A., Williams, D., D’Antonio, N., Zhang, Y., Rajagopalan, A., Flietner, E., Wilson, K., Zhang, X., Shinn, P., Klumpp-Thomas, C., McKnight, C., Itkin, Z., Chen, L., Kazandijian, D., Zhang, J., Michalowski, A.M., Simmons, J.K., Keats, J., Thomas, C.J., Mock, B.A.
- Summary : Several myeloma (MM) is frequently immune to medicine therapy, requiring continued expedition to recognize new, effective therapeutic mixes. In this research, researchers made use of high-throughput drug testing to identify over 1900 compounds with activity versus a minimum of 25 of the 47 MM cell lines checked. From these 1900 substances, 3 61 million combinations were assessed in silico, and sets of substances with highly associated task across the 47 cell lines and different devices of activity were chosen for more evaluation. Especially, six (6 drug combinations were effective at 1 lowering over-expression of a crucial healthy protein (MYC) that is usually connected to the production of deadly cells and 2 increased expression of the p 16 healthy protein, which can aid the body reduce tumor growth. Moreover, 3 (3 recognized medication combinations boosted opportunities of survival and reduced the development of cancer cells, partly by reducing activity of pathways involved in TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical searchings for recognize possibly beneficial unique drug mixes for difficult to treat numerous myeloma.
New rank-based healthy protein category technique to enhance glioblastoma therapy
- Magazine : Cancers
- Writers : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Summary : Glioblastomas, one of the most typical kind of cancerous brain lumps, vary considerably, restricting the capacity to analyze the organic factors that drive whether glioblastomas will reply to treatment. Nonetheless, information evaluation of the proteome– the whole collection of proteins that can be revealed by the growth– can 1 deal non-invasive approaches of categorizing glioblastomas to help inform therapy and 2 recognize healthy protein biomarkers associated with interventions to assess reaction to treatment. In this study, researchers established and checked a novel rank-based weighting approach (“RadWise”) for healthy protein features to assist ML formulas focus on the one of the most relevant factors that show post-therapy outcomes. RadWise uses an extra reliable path to identify the proteins and features that can be key targets for therapy of these aggressive, fatal growths.
Recognizing liver cancer subtypes likely to reply to immunotherapy
- Publication : Cell Reports Medicine
- Writers : Budhu, A., Pehrsson, E.C., He, A., Goyal, L., Kelley, R.K., Dang, H., Xie, C., Monge, C., Tandon, M., Ma, L., Revsine, M., Kuhlman, L., Zhang, K., Baiev, I., Lamm, R., Patel, K., Kleiner, D.E., Hewitt, S.M., Tran, B., Shetty, J., Wu, X., Zhao, Y., Shen, T.W., Choudhari, S., Kriga, Y., Ylaya, K., Detector, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer is a rising source of cancer cells fatalities in the United States. This research study explored variant in individual outcomes for a type of immunotherapy using immune checkpoint inhibitors. Scientist noted that specific molecular subtypes of cancer cells, specified by 1 the aggressiveness of cancer cells and 2 the microenvironment of the cancer cells, were connected to higher survival prices with immune checkpoint inhibitor treatment. Determining these molecular subtypes can assist physicians recognize whether a patient’s special cancer cells is likely to reply to this kind of intervention, suggesting they can apply more targeted use of immunotherapy and boost probability of success.
Applying formulas to EHR data to infer maternity timing for more precise maternal health research
- Publication : JAMIA, Women’s Health Scandal sheet
- Authors : Jones, S., Bradwell, K.R. *, Chan, L.E., McMurry, J.A., Olson-Chen, C., Tarleton, J., Wilkins, K.J., Qin, Q., Faherty, E.G., Lau, Y.K., Xie, C., Kao, Y.H., Liebman, M.N., Ljazouli, S. *, Mariona, F., Challa, A., Li, L., Ratcliffe, S.J., Haendel, M.A., Patel, R.C., Hill, E.L.
- Recap : There are indicators that COVID- 19 can cause maternity complications, and expecting individuals seem at higher risk for extra extreme COVID- 19 infection. Evaluation of health record (EHR) data can aid give more understanding, yet as a result of data variances, it is usually tough to determine 1 pregnancy begin and end days and 2 gestational age of the child at birth. To assist, researchers adjusted an existing algorithm for determining gestational age and pregnancy length that relies on analysis codes and delivery dates. To increase the accuracy of this formula, the scientists layered on their own data-driven algorithms to specifically infer maternity begin, maternity end, and spots time frames throughout a pregnancy’s progression while additionally addressing EHR information inconsistency. This technique can be accurately made use of to make the fundamental inference of maternity timing and can be put on future pregnancy and maternal research on subjects such as adverse pregnancy results and maternal death.
A novel technique for resolving EHR data high quality issues for scientific experiences
- Publication : JAMIA
- Writers : Leese, P., Anand, A., Girvin, A. *, Manna, A. *, Patel, S., Yoo, Y.J., Wong, R., Haendel, M., Chute, C.G., Bennett, T., Hajagos, J., Pfaff, E., Moffitt, R.
- Summary : Professional experience data can be an abundant resource for research study, but it typically differs considerably across providers, centers, and organizations, making it challenging to consistently evaluate. This inconsistency is magnified when multisite electronic health record (EHR) data is networked together in a main data source. In this study, scientists established a novel, generalizable approach for dealing with clinical experience data for evaluation by integrating associated experiences right into composite “macrovisits.” This approach aids control and solve EHR encounter data issues in a generalizable, repeatable method, permitting researchers to a lot more easily open the capacity of this abundant data for massive researches.
Improving openness in phenotyping for Long COVID study and beyond
- Magazine : Journal of the American Medical Informatics Association
- Writers : Pfaff, E.R., Girvin, A.T. *, Crosskey, M., Gangireddy, S., Master, H., Wei, W.Q., Kerchberger, V.E., Weiner, M., Harris, P.A., Basford, M., Lunt, C., Chute, C.G., Moffitt, R.A., Haendel, M.; N 3 C and Recoup Consortia
- Recap : Phenotyping, the process of reviewing and classifying a microorganism’s features, can aid researchers better understand the distinctions in between people and teams of individuals, and to recognize specific traits that might be connected to specific illness or problems. Artificial intelligence (ML) can assist derive phenotypes from data, however these are testing to share and recreate as a result of their intricacy. Researchers in this research study devised and trained an ML-based phenotype to recognize patients extremely potential to have Long COVID, an increasingly immediate public wellness consideration, and revealed applicability of this technique for various other atmospheres. This is a success story of just how clear innovation and partnership can make phenotyping formulas more obtainable to a broad target market of scientists in informatics, reducing copied job and supplying them with a device to reach understandings much faster, consisting of for other conditions.
Browsing challenges for multisite real world data (RWD) databases
- Magazine : BMC Medical Study Methodology
- Authors : Sidky, H., Young, J.C., Girvin, A.T. *, Lee, E., Shao, Y.R., Hotaling, N., Michael, S., Wilkins, K.J., Setoguchi, S., Funk, M.J.; N 3 C Consortium
- Summary : Collaborating with big range centralized EHR data sources such as N 3 C for research calls for specialized knowledge and cautious examination of data high quality and efficiency. This study examines the process of examining data top quality to prepare for research study, focusing on drug effectiveness studies. Researchers recognized numerous approaches and best practices to much better characterize vital research components including direct exposure to treatment, baseline wellness comorbidities, and key end results of passion. As large range, centralized real life data sources become a lot more prevalent, this is a handy advance in aiding scientists more effectively navigate their distinct information obstacles while opening vital applications for medication advancement.
What’s Next for Wellness Research Study at Palantir
While 2023 saw crucial development, the brand-new year brings with it brand-new possibilities, as well as a seriousness to use the most up to date technical developments to the most crucial health problems dealing with people, communities, and the public at large. For instance, in 2023, the U.S. Federal government reaffirmed its dedication to combating systemic diseases such as cancer, and even launched a brand-new health agency, the Advanced Research Projects Firm for Health And Wellness ( ARPA-H
Moreover, in 2024, Palantir is honored to be a sector partner in the ingenious National AI Study Resource (NAIRR) pilot program , produced under the auspices of the National Scientific Research Structure (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was routed by the Biden Management’s Executive Order on Artificial Intelligence — Palantir will certainly be collaborating with its veteran partners at the National Institutes of Health (NIH) and N 3 C to sustain study in advancing secure, secure, and credible AI, as well as the application of AI to challenges in medical care.
In 2024, we’re thrilled to work with companions, brand-new and old, on concerns of essential value, using our discoverings on data, tools, and study to aid make it possible for significant improvements in wellness results for all.
To read more concerning our proceeding work throughout health and wellness and life sciences, check out https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies