2023 in Evaluation
Wellness Study + Modern Technology: A Turning Point
Palantir Factory has long contributed in speeding up the research study findings of our health and wellness and life science companions, aiding accomplish unprecedented understandings, streamline information gain access to, improve data usability, and promote innovative visualization and analysis of information resources– all while safeguarding the personal privacy and security of the support data
In 2023, Shop supported over 50 peer-reviewed publications in esteemed journals, covering a varied variety of topics– from health center procedures, to oncological medicines, to finding out modalities. The year prior, our software sustained a record variety of peer-reviewed magazines, which we highlighted in a previous blog post
Our partners’ fundamental financial investments in technological framework throughout the top of the COVID- 19 pandemic has actually made the remarkable amount of publications feasible.
Public and commercial healthcare companions have actually proactively scaled their investments in information sharing and research study software application past COVID feedback to develop a more detailed information foundation for biomedical research study. For example, the N 3 C Enclave — which houses the data of 21 5 M individuals from across virtually 100 organizations– is being made use of day-to-day by hundreds of scientists across firms and organizations. Offered the complexity of accessing, organizing, and using ever-expanding biomedical information, the need for similar research study resources continues to climb.
In this article, we take a closer consider some significant magazines from 2023 and examine what lies in advance for software-backed research.
Arising Innovation and the Acceleration of Scientific Research
The effect of brand-new innovations on the scientific enterprise is increasing research-based results at a formerly impossible range. Emerging technologies and advanced software program are aiding develop much more specific, arranged, and accessible information properties, which in turn are permitting scientists to deal with progressively complex clinical difficulties. Particularly, as a modular, interoperable, and versatile platform, Shop has been used to sustain a diverse range of clinical researches with distinct research functions, consisting of AI-assisted rehabs recognition, real-world proof generation, and a lot more.
In 2023, the industry has actually likewise seen a rapid growth in rate of interest around using Expert system (AI)– and specifically, generative AI and huge language models (LLM)– in the health and wellness and life scientific research domain names. Along with various other core technological improvements (e.g., around data quality and usability), the potential for AI-enabled software to accelerate scientific study is extra encouraging than ever. As a business leader in AI-enabled software, Palantir has been at the forefront of finding liable, secure, and reliable means to apply AI-enabled abilities to support our companions throughout markets in attaining their most important missions.
Over the previous year, Palantir software program aided drive essential elements of our companions’ research study and we stand prepared to continue collaborating with our partners in government, sector, and civil culture to tackle the most important challenges in health and wellness and science in advance. In the next section, we supply concrete examples of just how the power of software can aid breakthrough scientific research, highlighting some essential biomedical publications powered by Foundry in 2023
2023 Publications Powered by Palantir Foundry
Along with a variety of essential cancer and COVID treatment studies, Palantir Shop additionally enabled brand-new searchings for in the broader field of research technique. Listed below, we highlight an example of a few of one of the most impactful peer-reviewed short articles released in 2023 that used Palantir Factory to assist drive their research.
Recognizing new efficient drug combinations for numerous myeloma
- Magazine : Cancer 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.
- Summary : Multiple myeloma (MM) is often immune to drug therapy, requiring continued exploration to recognize brand-new, efficient healing combinations. In this research, scientists made use of high-throughput drug testing to determine over 1900 compounds with task against at least 25 of the 47 MM cell lines tested. From these 1900 substances, 3 61 million combinations were assessed in silico, and sets of compounds with extremely associated task across the 47 cell lines and different mechanisms of action were selected for further analysis. Specifically, 6 (6 medicine combinations were effective at 1 lowering over-expression of an essential healthy protein (MYC) that is typically connected to the production of malignant cells and 2 enhanced expression of the p 16 protein, which can assist the body suppress tumor development. Moreover, 3 (3 identified medicine mixes enhanced chances of survival and lowered the development of cancer cells, in part by decreasing task of pathways associated with TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical searchings for recognize possibly useful novel medicine combinations for challenging to treat several myeloma.
New rank-based protein classification method to improve glioblastoma therapy
- 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 typical kind of cancerous brain tumors, vary significantly, limiting the capacity to analyze the organic elements that drive whether glioblastomas will certainly react to therapy. Nevertheless, data analysis of the proteome– the whole set of proteins that can be shared by the lump– can 1 offer non-invasive techniques of classifying glioblastomas to aid inform treatment and 2 identify healthy protein biomarkers related to treatments to review reaction to treatment. In this research study, scientists created and examined an unique rank-based weighting technique (“RadWise”) for protein features to assist ML formulas concentrate on the one of the most relevant variables that suggest post-therapy end results. RadWise supplies an extra reliable pathway to recognize the healthy proteins and attributes that can be crucial targets for treatment of these hostile, deadly lumps.
Recognizing liver cancer cells subtypes most 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.
- Summary : Liver cancer is an increasing root cause of cancer deaths in the US. This research study examined variant in patient results for a kind of immunotherapy making use of immune checkpoint inhibitors. Scientist kept in mind that particular molecular subtypes of cancer, specified by 1 the aggression of cancer cells and 2 the microenvironment of the cancer cells, were connected to greater survival prices with immune checkpoint prevention treatment. Recognizing these molecular subtypes can aid medical professionals determine whether an individual’s special cancer cells is likely to react to this kind of intervention, implying they can use more targeted use immunotherapy and boost possibility of success.
Using algorithms to EHR information to infer pregnancy timing for even more precise maternal wellness research
- Publication : JAMIA, Women’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.
- Recap : There are indications that COVID- 19 can cause pregnancy problems, and expectant individuals seem at greater risk for extra extreme COVID- 19 infection. Evaluation of health and wellness record (EHR) information can aid provide more understanding, however due to data inconsistencies, it is usually challenging to identify 1 pregnancy start and end days and 2 gestational age of the baby at birth. To assist, researchers adjusted an existing formula for figuring out gestational age and maternity length that relies on analysis codes and distribution days. To increase the precision of this formula, the researchers layered by themselves data-driven algorithms to specifically infer maternity begin, pregnancy end, and site amount of time throughout a pregnancy’s progression while likewise dealing with EHR data inconsistency. This method can be dependably made use of to make the foundational reasoning of pregnancy timing and can be put on future pregnancy and pregnancy research on topics such as adverse pregnancy results and maternal death.
A novel approach for dealing with EHR information top quality issues for medical experiences
- 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.
- Summary : Clinical encounter data can be a rich resource for research study, however it usually varies considerably throughout suppliers, facilities, and organizations, making it hard to evenly evaluate. This disparity is magnified when multisite electronic health and wellness document (EHR) data is networked with each other in a central data source. In this research study, researchers created a novel, generalizable technique for solving clinical encounter information for analysis by integrating related encounters into composite “macrovisits.” This methodology helps adjust and deal with EHR experience data issues in a generalizable, repeatable means, enabling scientists to extra quickly unlock the capacity of this abundant information for large-scale researches.
Improving openness in phenotyping for Long COVID research study and past
- Publication : 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
- Recap : Phenotyping, the process of evaluating and classifying an organism’s qualities, can aid scientists much better understand the distinctions between individuals and groups of people, and to determine certain attributes that might be linked to certain conditions or conditions. Machine learning (ML) can aid acquire phenotypes from information, but these are challenging to share and recreate due to their intricacy. Researchers in this study designed and educated an ML-based phenotype to identify individuals extremely potential to have Lengthy COVID, a significantly urgent public wellness consideration, and showed applicability of this method for other environments. This is a success story of how clear modern technology and collaboration can make phenotyping formulas extra available to a wide target market of scientists in informatics, minimizing copied job and supplying them with a device to get to understandings much faster, including for other illness.
Navigating challenges for multisite real life data (RWD) databases
- Magazine : BMC Medical Study 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
- Summary : Collaborating with large scale systematized EHR databases such as N 3 C for research requires specialized knowledge and mindful analysis of information top quality and efficiency. This research checks out the procedure of analyzing information high quality to prepare for research study, focusing on medicine efficacy studies. Scientist determined numerous methods and ideal methods to better define essential study elements including direct exposure to therapy, standard wellness comorbidities, and crucial outcomes of interest. As large range, systematized real life databases become much more prevalent, this is a helpful progression in assisting scientists more effectively browse their distinct information challenges while opening important applications for medication advancement.
What’s Following for Wellness Study at Palantir
While 2023 saw essential progression, the new year brings with it brand-new opportunities, along with an urgency to use the most recent technological improvements to the most important health and wellness issues dealing with individuals, areas, and the general public at huge. For example, in 2023, the U.S. Federal government reaffirmed its commitment to combating systemic diseases such as cancer cells, and even released a brand-new wellness agency, the Advanced Research Study Projects Agency for Health And Wellness ( ARPA-H
Moreover, in 2024, Palantir is happy to be an industry partner in the ingenious National AI Research 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 directed by the Biden Administration’s Exec Order on Expert System — Palantir will certainly be working with its long-time partners at the National Institutes of Health (NIH) and N 3 C to sustain research in advancing secure, protected, and credible AI, in addition to the application of AI to difficulties in healthcare.
In 2024, we’re excited to work with partners, new and old, on problems of important importance, applying our learnings on information, devices, and research study to help allow purposeful renovations in wellness results for all.
To get more information about our proceeding job throughout wellness and life sciences, browse through https://www.palantir.com/offerings/federal-health/
* Authors affiliated with Palantir Technologies