2023 in Testimonial
Health And Wellness Research Study + Technology: A Juncture
Palantir Shop has actually long contributed in speeding up the study searchings for of our health and life scientific research partners, helping accomplish unprecedented insights, simplify information gain access to, enhance information functionality, and assist in innovative visualization and analysis of data sources– all while shielding the privacy and protection of the support data
In 2023, Foundry sustained over 50 peer-reviewed magazines in well-regarded journals, covering a varied variety of topics– from health center procedures, to oncological medicines, to discovering methods. The year prior, our software sustained a document variety of peer-reviewed magazines, which we highlighted in a prior blog post
Our partners’ foundational financial investments in technological framework during the top of the COVID- 19 pandemic has made the remarkable quantity of magazines possible.
Public and industrial health care partners have actually proactively scaled their investments in information sharing and study software application past COVID feedback to develop a more thorough information foundation for biomedical study. For example, the N 3 C Enclave — which houses the information of 21 5 M patients from across virtually 100 institutions– is being made use of everyday by thousands of scientists throughout agencies and companies. Provided the complexity of accessing, arranging, and harnessing ever-expanding biomedical data, the demand for similar research sources continues to climb.
In this post, we take a closer consider some significant publications from 2023 and analyze what exists ahead for software-backed research.
Emerging Technology and the Velocity of Scientific Research
The influence of new innovations on the scientific venture is speeding up research-based outputs at a formerly difficult range. Emerging modern technologies and progressed software are aiding develop extra accurate, arranged, and accessible data possessions, which subsequently are permitting scientists to take on progressively complicated scientific obstacles. In particular, as a modular, interoperable, and flexible platform, Foundry has actually been made use of to sustain a diverse series of clinical researches with distinct research features, consisting of AI-assisted therapeutics identification, real-world evidence generation, and much more.
In 2023, the industry has additionally seen a rapid development in rate of interest around making use of Artificial Intelligence (AI)– and particularly, generative AI and large language designs (LLM)– in the health and life science domains. Alongside various other core technical innovations (e.g., around information quality and use), the possibility for AI-enabled software application to increase scientific research is extra promising than ever before. As an industrial leader in AI-enabled software, Palantir has gone to the center of finding accountable, safe, and efficient means to apply AI-enabled capacities to support our companions throughout industries in achieving their crucial goals.
Over the past year, Palantir software assisted drive essential components of our companions’ study and we stand all set to continue interacting with our companions in federal government, sector, and civil culture to take on one of the most pressing difficulties in health and science in advance. In the next section, we supply concrete instances of just how the power of software program can help advance clinical research study, highlighting some essential biomedical magazines powered by Shop in 2023
2023 Publications Powered by Palantir Shop
In addition to a number of crucial cancer cells and COVID treatment researches, Palantir Shop likewise allowed new searchings for in the wider area of research methodology. Listed below, we highlight an example of several of the most impactful peer-reviewed write-ups published in 2023 that utilized Palantir Factory to assist drive their study.
Determining brand-new efficient medicine combinations for numerous myeloma
- Magazine : Cancer cells 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 often resistant to medication treatment, calling for continued exploration to identify new, efficient healing combinations. In this research study, researchers made use of high-throughput medicine screening to determine over 1900 substances with activity versus a minimum of 25 of the 47 MM cell lines tested. From these 1900 substances, 3 61 million mixes were evaluated in silico, and sets of substances with extremely correlated task throughout the 47 cell lines and various systems of action were selected for additional evaluation. Specifically, 6 (6 medication combinations were effective at 1 lowering over-expression of a vital healthy protein (MYC) that is typically linked to the manufacturing of deadly cells and 2 raised expression of the p 16 protein, which can help the body reduce tumor development. Additionally, three (3 recognized medicine combinations raised chances of survival and reduced the development of cancer cells, in part by lowering activity of pathways associated with TGFβ/ SMAD signaling, which regulate the cell life process. These preclinical searchings for recognize possibly valuable unique drug mixes for hard to treat multiple myeloma.
New rank-based healthy protein category method to improve glioblastoma therapy
- Publication : Cancers cells
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Summary : Glioblastomas, one of the most common sort of cancerous brain lumps, differ substantially, limiting the capability to assess the organic variables that drive whether glioblastomas will certainly react to treatment. However, data analysis of the proteome– the whole collection of proteins that can be shared by the tumor– can 1 offer non-invasive methods of classifying glioblastomas to assist notify therapy and 2 determine protein biomarkers related to interventions to assess reaction to therapy. In this research, scientists developed and examined a novel rank-based weighting approach (“RadWise”) for healthy protein includes to aid ML algorithms concentrate on the the most pertinent aspects that show post-therapy end results. RadWise uses a much more reliable pathway to determine the proteins and attributes that can be essential targets for treatment of these aggressive, deadly lumps.
Determining liver cancer cells subtypes most likely to respond to immunotherapy
- Magazine : Cell Reports 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 climbing cause of cancer cells fatalities in the United States. This research study investigated variation in client results for a type of immunotherapy making use of immune checkpoint preventions. Researchers kept in mind that certain molecular subtypes of cancer cells, defined by 1 the aggression of cancer and 2 the microenvironment of the cancer cells, were linked to greater survival prices with immune checkpoint prevention treatment. Identifying these molecular subtypes can assist physicians determine whether a client’s unique cancer cells is most likely to respond to this sort of intervention, meaning they can use extra targeted use of immunotherapy and enhance chance of success.
Applying formulas to EHR information to infer maternity timing for more precise maternal health research 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., Hillside, E.L.
- Recap : There are signs that COVID- 19 can cause pregnancy issues, and pregnant persons seem at greater threat for extra serious COVID- 19 infection. Analysis of health document (EHR) information can assist offer more insight, but as a result of information incongruities, it is often difficult to identify 1 maternity beginning and end dates and 2 gestational age of the child at birth. To help, scientists adjusted an existing algorithm for figuring out gestational age and maternity length that depends on analysis codes and delivery dates. To raise the precision of this algorithm, the scientists layered by themselves data-driven formulas to exactly presume pregnancy beginning, pregnancy end, and landmark timespan throughout a maternity’s progression while also dealing with EHR information variance. This approach can be accurately made use of to make the foundational reasoning of maternity timing and can be related to future pregnancy and maternal research on subjects such as damaging pregnancy results and mother’s death.
A novel approach for solving EHR data quality issues 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.
- Summary : Medical encounter information can be a rich source for study, yet it typically varies substantially across companies, facilities, and institutions, making it difficult to consistently assess. This inconsistency is magnified when multisite digital wellness document (EHR) data is networked together in a central data source. In this research study, researchers established a novel, generalizable method for fixing clinical experience information for analysis by incorporating related experiences right into composite “macrovisits.” This method aids manipulate and settle EHR encounter information concerns in a generalizable, repeatable way, permitting scientists to more easily open the capacity of this rich data for large research studies.
Improving openness in phenotyping for Long COVID 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
- Summary : Phenotyping, the procedure of examining and classifying a microorganism’s qualities, can help researchers much better understand the distinctions in between individuals and groups of individuals, and to determine certain qualities that may be linked to particular conditions or problems. Machine learning (ML) can aid acquire phenotypes from information, but these are challenging to share and duplicate due to their complexity. Researchers in this research study created and educated an ML-based phenotype to recognize clients very likely to have Long COVID, an increasingly immediate public health and wellness factor to consider, and revealed applicability of this approach for other environments. This is a success tale of just how transparent technology and partnership can make phenotyping formulas a lot more obtainable to a broad audience of researchers in informatics, reducing duplicated work and giving them with a device to reach understandings much faster, including for various other conditions.
Browsing obstacles for multisite real life information (RWD) databases
- Publication : BMC Medical Study Methodology
- Authors : Sidky, H., Youthful, 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 range centralized EHR databases such as N 3 C for research study needs specialized knowledge and mindful assessment of data high quality and completeness. This study takes a look at the procedure of examining information high quality in preparation for research, concentrating on medicine efficiency research studies. Researchers identified numerous approaches and finest methods to better characterize essential research study aspects consisting of direct exposure to treatment, baseline wellness comorbidities, and vital results of interest. As big range, systematized real world databases become much more widespread, this is a useful progression in aiding scientists more effectively navigate their unique data difficulties while opening critical applications for medication advancement.
What’s Next for Health And Wellness Study at Palantir
While 2023 saw crucial development, the new year brings with it new possibilities, in addition to an urgency to apply the latest technical advancements to one of the most important health and wellness issues facing individuals, neighborhoods, and the public at large. For example, in 2023, the U.S. Federal government reaffirmed its dedication to combating systemic conditions such as cancer, and even released a brand-new wellness firm, the Advanced Research Projects Company for Health ( ARPA-H
In addition, in 2024, Palantir is honored to be a market companion in the cutting-edge National AI Research Study Resource (NAIRR) pilot program , created under the auspices of the National Science Foundation (NSF) and with financing from the NIH. As part of the NAIRR pilot– whose launch was routed by the Biden Management’s Exec Order on Artificial Intelligence — Palantir will certainly be collaborating with its veteran partners at the National Institutes of Wellness (NIH) and N 3 C to support study ahead of time risk-free, safe, and trustworthy AI, as well as the application of AI to obstacles in healthcare.
In 2024, we’re thrilled to work with companions, brand-new and old, on issues of vital relevance, using our understandings on data, tools, and study to aid make it possible for purposeful improvements in health and wellness results for all.
To get more information regarding our continuing job throughout health and wellness and life sciences, see https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies