2023 in Review
Wellness Research + Modern Technology: A Pivotal Moment
Palantir Shop has long been instrumental in increasing the research searchings for of our health and wellness and life scientific research companions, aiding attain unmatched understandings, enhance information accessibility, improve information functionality, and facilitate innovative visualization and evaluation of information resources– all while safeguarding the privacy and protection of the backing data
In 2023, Foundry sustained over 50 peer-reviewed publications in well-regarded journals, covering a diverse number of subjects– from healthcare facility procedures, to oncological medications, to finding out methods. The year prior, our software supported a record variety of peer-reviewed magazines, which we highlighted in a prior post
Our partners’ foundational financial investments in technical facilities throughout the optimal of the COVID- 19 pandemic has made the outstanding quantity of magazines feasible.
Public and business healthcare companions have proactively scaled their investments in data sharing and research study software past COVID response to build an extra thorough data structure for biomedical research study. For example, the N 3 C Enclave — which houses the data of 21 5 M clients from throughout virtually 100 institutions– is being made use of day-to-day by thousands of researchers across firms and organizations. Given the complexity of accessing, organizing, and using ever-expanding biomedical data, the demand for similar research sources remains to rise.
In this blog post, we take a closer consider some noteworthy magazines from 2023 and examine what exists ahead for software-backed research.
Arising Innovation and the Acceleration of Scientific Research
The impact of brand-new innovations on the scientific business is increasing research-based results at a previously impossible range. Emerging technologies and advanced software application are assisting produce much more exact, organized, and obtainable information properties, which in turn are enabling scientists to tackle significantly complicated scientific obstacles. Particularly, as a modular, interoperable, and adaptable system, Factory has actually been used to support a diverse range of clinical research studies with special study features, including AI-assisted rehabs recognition, real-world evidence generation, and extra.
In 2023, the sector has actually likewise seen a rapid development in passion around using Artificial Intelligence (AI)– and specifically, generative AI and huge language designs (LLM)– in the wellness and life scientific research domain names. Along with various other core technical advancements (e.g., around data high quality and use), the potential for AI-enabled software program to speed up scientific research is much more encouraging than ever before. As a commercial leader in AI-enabled software, Palantir has gone to the forefront of searching for liable, protected, and efficient means to apply AI-enabled capabilities to support our companions across industries in accomplishing their most important objectives.
Over the previous year, Palantir software application helped drive essential components of our partners’ research and we stand ready to continue interacting with our partners in federal government, sector, and civil society to deal with the most pressing challenges in wellness and scientific research in advance. In the following area, we provide concrete instances of exactly how the power of software can aid advancement clinical study, highlighting some essential biomedical magazines powered by Shop in 2023
2023 Publications Powered by Palantir Foundry
Along with a number of important cancer and COVID therapy studies, Palantir Factory likewise allowed new searchings for in the broader area of research study approach. Below, we highlight a sample of a few of the most impactful peer-reviewed articles released in 2023 that utilized Palantir Factory to aid drive their study.
Recognizing brand-new effective medication combinations for several myeloma
- Publication : Cancer cells Letters
- Writers : 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.
- Recap : Several myeloma (MM) is often resistant to medicine therapy, requiring ongoing exploration to determine new, efficient therapeutic combinations. In this research study, researchers utilized high-throughput drug testing to identify over 1900 compounds with activity versus a minimum of 25 of the 47 MM cell lines evaluated. From these 1900 compounds, 3 61 million combinations were evaluated in silico, and sets of compounds with extremely associated activity throughout the 47 cell lines and various devices of activity were selected for additional evaluation. Particularly, 6 (6 medicine mixes worked at 1 minimizing over-expression of a vital protein (MYC) that is typically connected to the production of deadly cells and 2 boosted expression of the p 16 protein, which can help the body suppress tumor development. In addition, 3 (3 recognized medication combinations raised chances of survival and decreased the development of cancer cells, partly by reducing task of pathways associated with TGFβ/ SMAD signaling, which manage the cell life process. These preclinical searchings for recognize possibly valuable novel medicine mixes for tough to deal with multiple myeloma.
New rank-based protein classification approach to improve glioblastoma treatment
- Publication : Cancers cells
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, the most usual sort of cancerous brain growths, vary significantly, limiting the capacity to assess the organic variables that drive whether glioblastomas will react to therapy. Nevertheless, information evaluation of the proteome– the entire set of healthy proteins that can be revealed by the lump– can 1 offer non-invasive methods of categorizing glioblastomas to aid educate treatment and 2 identify healthy protein biomarkers associated with treatments to evaluate response to treatment. In this research study, researchers developed and evaluated an unique rank-based weighting technique (“RadWise”) for healthy protein includes to assist ML algorithms concentrate on the the most relevant aspects that suggest post-therapy outcomes. RadWise provides a much more effective path to identify the proteins and functions that can be crucial targets for treatment of these aggressive, fatal growths.
Recognizing liver cancer subtypes likely to react to immunotherapy
- Publication : Cell Records Medication
- 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 cells is a climbing root cause of cancer deaths in the United States. This study checked out variant in client end results for a sort of immunotherapy utilizing immune checkpoint preventions. Scientist noted that specific molecular subtypes of cancer cells, defined by 1 the aggression of cancer cells and 2 the microenvironment of the cancer cells, were connected to higher survival rates with immune checkpoint inhibitor treatment. Determining these molecular subtypes can assist physicians determine whether an individual’s distinct cancer is likely to reply to this kind of intervention, indicating they can use much more targeted use immunotherapy and improve chance of success.
Applying formulas to EHR information to presume maternity timing for more precise mother’s health and wellness study
- Publication : JAMIA, Women’s Health and wellness Special Edition
- 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.
- Summary : There are indicators that COVID- 19 can trigger maternity problems, and pregnant persons appear to be at higher threat for a lot more serious COVID- 19 infection. Evaluation of health document (EHR) data can help supply even more understanding, but because of information disparities, it is commonly tough to determine 1 maternity begin and end days and 2 gestational age of the baby at birth. To help, scientists adjusted an existing formula for identifying gestational age and pregnancy size that relies on diagnostic codes and shipment dates. To boost the precision of this algorithm, the researchers layered by themselves data-driven algorithms to precisely presume maternity beginning, maternity end, and site amount of time throughout a maternity’s progression while likewise attending to EHR information incongruity. This technique can be dependably used to make the fundamental reasoning of pregnancy timing and can be put on future maternity and maternal study on subjects such as damaging maternity outcomes and mother’s death.
A novel method for settling EHR information quality concerns for medical experiences
- Magazine : JAMIA
- Authors : 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 encounter data can be an abundant source for research study, but it often varies greatly across providers, centers, and establishments, making it challenging to consistently assess. This inconsistency is magnified when multisite digital wellness record (EHR) information is networked together in a central database. In this study, researchers developed an unique, generalizable approach for resolving professional experience information for analysis by combining related encounters into composite “macrovisits.” This methodology aids manipulate and solve EHR experience data issues in a generalizable, repeatable method, allowing scientists to a lot more quickly unlock the potential of this abundant information for massive research studies.
Improving transparency in phenotyping for Long COVID research and past
- Magazine : Journal of the American Medical Informatics Organization
- 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 RECOVER Consortia
- Recap : Phenotyping, the process of evaluating and classifying an organism’s attributes, can help scientists much better understand the distinctions between individuals and groups of people, and to recognize details attributes that may be connected to particular illness or problems. Artificial intelligence (ML) can help obtain phenotypes from information, but these are testing to share and reproduce because of their intricacy. Researchers in this study devised and trained an ML-based phenotype to recognize patients very probable to have Lengthy COVID, a progressively urgent public health factor to consider, and showed applicability of this method for various other atmospheres. This is a success tale of how clear innovation and collaboration can make phenotyping algorithms extra obtainable to a broad target market of researchers in informatics, minimizing copied job and offering them with a tool to get to understandings much faster, including for various other conditions.
Navigating difficulties for multisite real world data (RWD) data sources
- Publication : BMC Medical Research Study Methodology
- Writers : 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
- Recap : Collaborating with large range streamlined EHR databases such as N 3 C for research requires specialized knowledge and mindful assessment of information high quality and efficiency. This research examines the process of assessing information quality in preparation for research study, concentrating on medication efficacy research studies. Researchers identified numerous methods and ideal practices to much better identify vital research study aspects including exposure to treatment, standard health and wellness comorbidities, and essential end results of rate of interest. As big scale, streamlined real world data sources become extra widespread, this is a helpful step forward in aiding researchers more effectively browse their distinct information obstacles while unlocking critical applications for drug advancement.
What’s Following for Health Research at Palantir
While 2023 saw crucial progression, the new year brings with it brand-new opportunities, in addition to a necessity to apply the most recent technical developments to the most important health issues encountering people, areas, and the public at huge. For instance, in 2023, the united state Federal government reaffirmed its commitment to combating systemic diseases such as cancer cells, and even introduced a new health company, the Advanced Study Projects Firm for Health ( ARPA-H
Additionally, in 2024, Palantir is happy to be a market companion in the cutting-edge National AI Research Resource (NAIRR) pilot program , developed under the auspices of the National Science Structure (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was directed by the Biden Management’s Exec Order on Expert System — Palantir will certainly be collaborating with its veteran companions at the National Institutes of Health And Wellness (NIH) and N 3 C to support research study beforehand risk-free, secure, and trustworthy AI, along with the application of AI to difficulties in medical care.
In 2024, we’re thrilled to deal with companions, brand-new and old, on issues of important relevance, applying our knowings on information, tools, and study to help make it possible for significant renovations in health and wellness end results for all.
To get more information concerning our proceeding job across wellness and life sciences, browse through https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies