2023 in Review
Wellness Research + Modern Technology: A Juncture
Palantir Shop has actually long contributed in increasing the study searchings for of our wellness and life scientific research partners, assisting attain unprecedented understandings, improve data access, enhance information functionality, and help with advanced visualization and evaluation of information sources– all while protecting the personal privacy and security of the backing data
In 2023, Shop supported over 50 peer-reviewed publications in renowned journals, covering a varied number of topics– from healthcare facility operations, to oncological medications, to finding out methods. The year prior, our software supported a record variety of peer-reviewed publications, which we highlighted in a previous post
Our companions’ fundamental financial investments in technical framework throughout the height of the COVID- 19 pandemic has made the outstanding quantity of publications feasible.
Public and commercial health care partners have actually proactively scaled their financial investments in data sharing and research study software beyond COVID action to build a much more extensive information structure for biomedical research study. For example, the N 3 C Enclave — which houses the information of 21 5 M patients from throughout almost 100 institutions– is being made use of day-to-day by countless researchers throughout agencies and organizations. Provided the complexity of accessing, organizing, and using ever-expanding biomedical information, the demand for similar study sources remains to increase.
In this blog post, we take a closer take a look at some significant publications from 2023 and examine what exists in advance for software-backed research study.
Emerging Innovation and the Velocity of Scientific Research
The effect of brand-new innovations on the scientific enterprise is accelerating research-based results at a formerly difficult range. Arising modern technologies and progressed software program are aiding create a lot more exact, organized, and available information assets, which in turn are permitting researchers to deal with significantly complicated scientific difficulties. Particularly, as a modular, interoperable, and versatile platform, Foundry has actually been utilized to support a diverse variety of clinical research studies with distinct study functions, consisting of AI-assisted rehabs recognition, real-world proof generation, and much more.
In 2023, the market has actually additionally seen a rapid development in interest around using Expert system (AI)– and in particular, generative AI and big language versions (LLM)– in the health and wellness and life scientific research domain names. Along with various other core technical improvements (e.g., around information top quality and usability), the capacity for AI-enabled software program to increase scientific study is more promising than ever before. As an industrial leader in AI-enabled software, Palantir has gone to the forefront of searching for responsible, secure, and effective means to use AI-enabled abilities to support our partners across markets in attaining their most important missions.
Over the past year, Palantir software assisted drive key parts of our companions’ study and we stand ready to continue interacting with our companions in government, market, and civil society to tackle the most important difficulties in health and science ahead. In the next section, we offer concrete examples of just how the power of software application can help advancement clinical research, highlighting some crucial biomedical publications powered by Shop in 2023
2023 Publications Powered by Palantir Factory
In addition to a variety of essential cancer and COVID therapy studies, Palantir Shop likewise allowed brand-new searchings for in the more comprehensive field of research methodology. Below, we highlight an example of a few of one of the most impactful peer-reviewed write-ups released in 2023 that made use of Palantir Shop to assist drive their study.
Determining new efficient medication combinations 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 : Numerous myeloma (MM) is frequently immune to medication therapy, requiring ongoing expedition to identify new, effective therapeutic mixes. In this research, researchers utilized high-throughput drug testing to determine over 1900 compounds with task against at least 25 of the 47 MM cell lines checked. From these 1900 compounds, 3 61 million combinations were assessed in silico, and sets of substances with highly correlated task throughout the 47 cell lines and various systems of activity were chosen for additional analysis. Particularly, six (6 medicine mixes worked at 1 minimizing over-expression of a vital protein (MYC) that is usually linked to the production of malignant cells and 2 enhanced expression of the p 16 protein, which can assist the body subdue tumor growth. Additionally, three (3 identified drug mixes increased opportunities of survival and reduced the growth of cancer cells, in part by minimizing activity of pathways associated with TGFβ/ SMAD signaling, which manage the cell life cycle. These preclinical searchings for determine potentially valuable unique medication combinations for challenging to treat several myeloma.
New rank-based protein category approach to enhance glioblastoma treatment
- Publication : Cancers
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, one of the most common type of cancerous brain tumors, vary substantially, limiting the ability to assess the biological aspects that drive whether glioblastomas will react to treatment. Nonetheless, information evaluation of the proteome– the whole set of proteins that can be revealed by the lump– can 1 offer non-invasive approaches of identifying glioblastomas to help notify treatment and 2 determine protein biomarkers connected with interventions to assess feedback to treatment. In this research study, researchers established and examined an unique rank-based weighting technique (“RadWise”) for protein features to assist ML algorithms concentrate on the the most pertinent aspects that suggest post-therapy end results. RadWise supplies a much more efficient pathway to recognize the healthy proteins and features that can be essential targets for therapy of these aggressive, fatal tumors.
Determining liver cancer cells subtypes likely to reply to immunotherapy
- Publication : Cell Records Medication
- Authors : 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer cells is a rising reason for cancer cells fatalities in the United States. This research examined variant in patient results for a kind of immunotherapy using immune checkpoint preventions. Scientist noted that specific molecular subtypes of cancer cells, defined by 1 the aggression of cancer and 2 the microenvironment of the cancer cells, were connected to higher survival rates with immune checkpoint inhibitor therapy. Recognizing these molecular subtypes can assist doctors identify whether a person’s one-of-a-kind cancer cells is likely to respond to this sort of treatment, suggesting they can apply much more targeted use of immunotherapy and boost possibility of success.
Applying formulas to EHR information to presume maternity timing for more precise maternal health and wellness study
- Publication : JAMIA, Female’s Wellness Special Edition
- Writers : 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 indications that COVID- 19 can trigger pregnancy issues, and expecting individuals seem at higher threat for much more extreme COVID- 19 infection. Analysis of health record (EHR) information can aid supply more understanding, however as a result of data inconsistencies, it is usually tough to determine 1 pregnancy beginning and end dates and 2 gestational age of the child at birth. To assist, scientists adapted an existing formula for figuring out gestational age and maternity size that relies on analysis codes and distribution days. To raise the precision of this algorithm, the scientists layered by themselves data-driven formulas to exactly presume maternity beginning, pregnancy end, and site timespan throughout a pregnancy’s progression while also addressing EHR information disparity. This method can be accurately used to make the fundamental inference of maternity timing and can be related to future pregnancy and pregnancy research study on subjects such as unfavorable pregnancy results and maternal death.
An unique approach for settling EHR data top quality issues for medical encounters
- Magazine : 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 : Scientific experience information can be a rich source for research, but it typically differs substantially throughout companies, centers, and organizations, making it difficult to evenly evaluate. This incongruity is multiplied when multisite digital health and wellness document (EHR) data is networked with each other in a central database. In this research study, researchers developed an unique, generalizable approach for solving scientific encounter data for analysis by incorporating associated encounters right into composite “macrovisits.” This approach helps manipulate and fix EHR experience information concerns in a generalizable, repeatable way, permitting researchers to more quickly unlock the potential of this abundant data for large-scale research studies.
Improving transparency in phenotyping for Long COVID research study and past
- Publication : Journal of the American Medical Informatics Association
- 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 RECOVER Consortia
- Summary : Phenotyping, the process of evaluating and classifying a microorganism’s characteristics, can aid scientists much better recognize the distinctions in between individuals and groups of people, and to recognize specific traits that may be linked to particular illness or problems. Machine learning (ML) can assist acquire phenotypes from information, but these are testing to share and replicate due to their intricacy. Researchers in this research study devised and educated an ML-based phenotype to determine people very likely to have Long COVID, an increasingly urgent public wellness consideration, and revealed applicability of this approach for other environments. This is a success story of how clear modern technology and collaboration can make phenotyping formulas much more easily accessible to a wide audience of researchers in informatics, minimizing duplicated work and providing them with a tool to reach understandings much faster, including for various other illness.
Browsing obstacles for multisite real world data (RWD) databases
- Publication : BMC Medical Research Method
- 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 large range streamlined EHR databases such as N 3 C for research calls for specialized knowledge and careful assessment of information quality and efficiency. This research study takes a look at the process of analyzing information high quality to prepare for research, concentrating on medication efficacy research studies. Scientist determined several methods and finest methods to much better define vital study components consisting of exposure to treatment, standard health comorbidities, and crucial outcomes of rate of interest. As huge scale, centralized real life databases come to be much more widespread, this is a helpful progression in helping researchers more effectively browse their special information challenges while opening essential applications for drug development.
What’s Following for Health Research Study at Palantir
While 2023 saw crucial progression, the new year brings with it brand-new possibilities, in addition to a seriousness to apply the most up to date technological innovations to one of the most important health issues encountering individuals, communities, and the public at large. For example, in 2023, the U.S. Government reaffirmed its dedication to combating systemic diseases such as cancer cells, and even released a brand-new wellness agency, the Advanced Study Projects Firm for Health ( ARPA-H
In addition, in 2024, Palantir is pleased to be a market partner in the cutting-edge National AI Study Resource (NAIRR) pilot program , developed under the auspices of the National Science Structure (NSF) and with financing from the NIH. As part of the NAIRR pilot– whose launch was guided by the Biden Management’s Executive Order on Expert System — Palantir will certainly be dealing with its long-time partners at the National Institutes of Health (NIH) and N 3 C to sustain study ahead of time risk-free, safe, and trustworthy AI, as well as the application of AI to challenges in health care.
In 2024, we’re delighted to deal with companions, new and old, on issues of essential relevance, applying our understandings on data, tools, and research study to assist make it possible for purposeful renovations in health results for all.
For more information concerning our proceeding job throughout wellness and life sciences, see https://www.palantir.com/offerings/federal-health/
* Authors affiliated with Palantir Technologies