2023 in Evaluation
Health Research Study + Technology: A Pivotal Moment
Palantir Foundry has long been instrumental in accelerating the study searchings for of our health and wellness and life science partners, aiding attain extraordinary understandings, enhance data access, enhance data use, and help with advanced visualization and evaluation of information sources– all while securing the privacy and security of the support data
In 2023, Shop supported over 50 peer-reviewed magazines in esteemed journals, covering a diverse variety of topics– from hospital operations, to oncological medications, to learning modalities. The year prior, our software application supported a record number of peer-reviewed magazines, which we highlighted in a prior blog post
Our companions’ foundational investments in technical facilities during the optimal of the COVID- 19 pandemic has made the impressive amount of publications feasible.
Public and industrial healthcare companions have proactively scaled their financial investments in data sharing and research study software program beyond COVID response to develop an extra comprehensive information structure for biomedical research study. As an example, the N 3 C Enclave — which houses the information of 21 5 M individuals from across almost 100 institutions– is being used daily by hundreds of scientists across companies and organizations. Given the intricacy of accessing, arranging, and using ever-expanding biomedical information, the need for similar research study resources remains to climb.
In this post, we take a closer take a look at some significant magazines from 2023 and analyze what lies in advance for software-backed research.
Emerging Modern Technology and the Velocity of Scientific Research Study
The impact of brand-new modern technologies on the clinical enterprise is increasing research-based outcomes at a previously difficult range. Emerging innovations and advanced software are helping create more precise, organized, and obtainable information properties, which in turn are permitting scientists to take on progressively complex scientific difficulties. Specifically, as a modular, interoperable, and versatile system, Shop has been utilized to sustain a varied range of clinical research studies with one-of-a-kind research study features, consisting of AI-assisted rehabs recognition, real-world evidence generation, and extra.
In 2023, the sector has actually additionally seen a rapid growth in interest around utilizing Expert system (AI)– and particularly, generative AI and big language designs (LLM)– in the wellness and life scientific research domain names. Along with various other core technical developments (e.g., around data quality and functionality), the capacity for AI-enabled software to speed up clinical research is much more encouraging than ever. As an industrial leader in AI-enabled software, Palantir has been at the leading edge of searching for liable, safe and secure, and effective means to use AI-enabled abilities to sustain our partners across industries in accomplishing their essential missions.
Over the previous year, Palantir software program helped drive vital elements of our partners’ study and we stand all set to proceed working together with our companions in government, sector, and civil culture to tackle the most important obstacles in wellness and science ahead. In the next area, we supply concrete instances of exactly how the power of software can aid development clinical research, highlighting some vital biomedical publications powered by Shop in 2023
2023 Publications Powered by Palantir Shop
In addition to a number of crucial cancer cells and COVID therapy researches, Palantir Foundry additionally made it possible for brand-new searchings for in the broader field of research method. Below, we highlight a sample of several of one of the most impactful peer-reviewed write-ups published in 2023 that utilized Palantir Foundry to help drive their research.
Determining brand-new efficient medicine 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 medication treatment, calling for ongoing exploration to determine brand-new, reliable therapeutic mixes. In this study, scientists used high-throughput drug screening to determine over 1900 substances with task against at least 25 of the 47 MM cell lines evaluated. From these 1900 compounds, 3 61 million mixes were examined in silico, and pairs of compounds with very associated task throughout the 47 cell lines and different devices of activity were selected for additional evaluation. Specifically, 6 (6 medication combinations worked at 1 lowering over-expression of an essential healthy protein (MYC) that is usually linked to the production of malignant cells and 2 raised expression of the p 16 healthy protein, which can help the body suppress lump growth. Additionally, 3 (3 identified medicine mixes raised opportunities of survival and decreased the growth of cancer cells, in part by minimizing task of paths associated with TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical findings recognize potentially helpful novel medicine mixes for difficult to treat several myeloma.
New rank-based healthy protein category method to improve glioblastoma treatment
- Publication : Cancers cells
- Writers : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Summary : Glioblastomas, the most common sort of malignant brain tumors, vary considerably, limiting the capacity to examine the organic variables that drive whether glioblastomas will certainly react to treatment. However, data analysis of the proteome– the entire collection of healthy proteins that can be expressed by the growth– can 1 offer non-invasive techniques of classifying glioblastomas to aid educate treatment and 2 determine protein biomarkers related to interventions to assess response to treatment. In this study, researchers created and evaluated a novel rank-based weighting method (“RadWise”) for healthy protein features to assist ML algorithms concentrate on the one of the most relevant factors that indicate post-therapy results. RadWise provides an extra effective path to identify the healthy proteins and functions that can be essential targets for therapy of these aggressive, fatal growths.
Identifying liver cancer cells subtypes likely to respond to immunotherapy
- Publication : Cell Records 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 climbing root cause of cancer cells fatalities in the US. This research examined variant in person outcomes for a type of immunotherapy utilizing immune checkpoint preventions. Scientist kept in mind that specific molecular subtypes of cancer cells, specified by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were linked to higher survival rates with immune checkpoint prevention treatment. Identifying these molecular subtypes can help doctors identify whether a client’s unique cancer cells is most likely to respond to this kind of treatment, meaning they can use a lot more targeted use of immunotherapy and boost likelihood of success.
Using algorithms to EHR information to infer maternity timing for more accurate mother’s health and wellness study
- Magazine : 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 signs that COVID- 19 can create maternity problems, and pregnant individuals seem at greater danger for more serious COVID- 19 infection. Analysis of health and wellness document (EHR) information can help give more insight, yet due to data inconsistencies, it is often tough to ascertain 1 pregnancy begin and end days and 2 gestational age of the child at birth. To aid, researchers adapted an existing formula for figuring out gestational age and maternity size that relies upon analysis codes and shipment dates. To increase the accuracy of this formula, the researchers layered on their own data-driven algorithms to precisely infer maternity beginning, pregnancy end, and spots time frames throughout a maternity’s development while likewise resolving EHR information variance. This method can be accurately used to make the foundational reasoning of maternity timing and can be applied to future maternity and maternity research on topics such as adverse pregnancy results and maternal death.
An unique method for dealing with EHR information high quality problems for professional encounters
- Publication : 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.
- Recap : Medical encounter data can be an abundant resource for study, yet it commonly differs greatly across service providers, centers, and establishments, making it tough to uniformly evaluate. This inconsistency is multiplied when multisite electronic wellness record (EHR) data is networked together in a main database. In this research, researchers developed an unique, generalizable method for dealing with professional encounter data for analysis by integrating relevant experiences into composite “macrovisits.” This method assists control and resolve EHR experience data issues in a generalizable, repeatable way, enabling researchers to a lot more conveniently unlock the capacity of this abundant data for large studies.
Improving transparency in phenotyping for Long COVID research and past
- Magazine : Journal of the American Medical Informatics Organization
- Authors : 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 Recuperate Consortia
- Summary : Phenotyping, the process of evaluating and classifying an organism’s characteristics, can help scientists much better comprehend the distinctions in between individuals and groups of people, and to identify specific attributes that might be linked to particular illness or problems. Machine learning (ML) can help acquire phenotypes from information, yet these are challenging to share and duplicate as a result of their complexity. Researchers in this study developed and trained an ML-based phenotype to determine clients extremely likely to have Lengthy COVID, an increasingly urgent public health and wellness consideration, and showed applicability of this technique for various other environments. This is a success story of just how clear technology and partnership can make phenotyping formulas extra easily accessible to a wide audience of scientists in informatics, decreasing duplicated job and offering them with a tool to get to understandings much faster, consisting of for various other illness.
Browsing challenges for multisite real life information (RWD) data sources
- Magazine : BMC Medical Research Technique
- 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
- Recap : Dealing with huge scale centralized EHR data sources such as N 3 C for research study requires specialized knowledge and careful evaluation of data top quality and completeness. This study takes a look at the process of examining information quality to prepare for research study, concentrating on medication effectiveness research studies. Scientist determined numerous approaches and finest techniques to much better characterize crucial research elements consisting of exposure to treatment, baseline health comorbidities, and essential end results of interest. As large scale, streamlined real life data sources become more common, this is a valuable progression in assisting researchers better navigate their unique data difficulties while unlocking essential applications for medicine advancement.
What’s Following for Wellness Research Study at Palantir
While 2023 saw essential progress, the brand-new year brings with it brand-new possibilities, along with a necessity to use the most recent technical advancements to the most essential wellness concerns facing individuals, areas, and the public at large. For instance, in 2023, the united state Government reaffirmed its commitment to combating systemic diseases such as cancer cells, and also introduced a brand-new health company, the Advanced Research Study Projects Firm for Health ( ARPA-H
In addition, in 2024, Palantir is honored to be an industry companion in the cutting-edge National AI Research Resource (NAIRR) pilot program , produced under the auspices of the National Science Foundation (NSF) and with financing from the NIH. As component of the NAIRR pilot– whose launch was directed by the Biden Management’s Exec Order on Expert System — Palantir will be working with its long-time partners at the National Institutes of Health And Wellness (NIH) and N 3 C to support research study ahead of time safe, safe and secure, and reliable AI, in addition to the application of AI to obstacles in healthcare.
In 2024, we’re thrilled to work with partners, new and old, on problems of essential significance, using our learnings on data, devices, and research study to assist enable meaningful improvements in health and wellness end results for all.
To get more information regarding our proceeding job across health and wellness and life scientific researches, see https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies