2023 in Testimonial
Wellness Research Study + Modern Technology: A Transition
Palantir Foundry has actually long contributed in speeding up the research searchings for of our health and wellness and life science companions, assisting accomplish unprecedented understandings, simplify data accessibility, enhance data functionality, and help with innovative visualization and evaluation of information resources– all while securing the personal privacy and security of the support data
In 2023, Factory sustained over 50 peer-reviewed publications in prestigious journals, covering a diverse variety of subjects– from medical facility procedures, to oncological drugs, to learning techniques. The year prior, our software program supported a document variety of peer-reviewed magazines, which we highlighted in a prior blog post
Our partners’ fundamental investments in technological infrastructure throughout the height of the COVID- 19 pandemic has made the impressive quantity of publications feasible.
Public and industrial health care partners have actually proactively scaled their financial investments in data sharing and study software program beyond COVID reaction to develop an extra extensive information structure for biomedical research. For instance, the N 3 C Enclave — which houses the data of 21 5 M people from throughout practically 100 establishments– is being utilized day-to-day by thousands of researchers across firms and companies. Offered the intricacy of accessing, organizing, and utilizing ever-expanding biomedical data, the need for comparable research sources continues to rise.
In this blog post, we take a closer check out some notable publications from 2023 and analyze what exists ahead for software-backed research.
Emerging Innovation and the Velocity of Scientific Research
The influence of brand-new technologies on the scientific business is increasing research-based outputs at a formerly impossible scale. Emerging technologies and progressed software program are assisting develop extra exact, organized, and easily accessible information possessions, which consequently are permitting scientists to deal with increasingly complex scientific challenges. In particular, as a modular, interoperable, and flexible system, Factory has actually been used to sustain a varied series of scientific studies with unique research study features, including AI-assisted therapies recognition, real-world proof generation, and more.
In 2023, the industry has likewise seen a rapid development in rate of interest around using Expert system (AI)– and specifically, generative AI and big language versions (LLM)– in the wellness and life scientific research domains. Alongside various other core technical improvements (e.g., around information top quality and usability), the possibility for AI-enabled software program to increase clinical study is a lot more encouraging than ever before. As an industrial leader in AI-enabled software program, Palantir has been at the forefront of finding responsible, protected, and efficient ways to apply AI-enabled capacities to support our companions throughout markets in accomplishing their crucial goals.
Over the previous year, Palantir software assisted drive vital elements of our partners’ research and we stand all set to continue interacting with our companions in government, sector, and civil society to take on one of the most important obstacles in wellness and science ahead. In the next area, we supply concrete instances of just how the power of software program can assist breakthrough scientific research, highlighting some key biomedical publications powered by Shop in 2023
2023 Publications Powered by Palantir Shop
Along with a number of crucial cancer cells and COVID therapy research studies, Palantir Shop likewise allowed new findings in the more comprehensive area of research approach. Listed below, we highlight an example of some of the most impactful peer-reviewed write-ups published in 2023 that used Palantir Foundry to aid drive their research study.
Recognizing new effective medication combinations for several 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 medicine therapy, needing continued expedition to determine new, reliable therapeutic mixes. In this research, researchers made use of high-throughput medicine testing to identify over 1900 substances with activity against at the very least 25 of the 47 MM cell lines examined. From these 1900 substances, 3 61 million combinations were assessed in silico, and pairs of substances with very associated task across the 47 cell lines and various mechanisms of activity were selected for more evaluation. Especially, 6 (6 drug combinations worked at 1 minimizing over-expression of a key protein (MYC) that is typically linked to the production of deadly cells and 2 boosted expression of the p 16 protein, which can help the body subdue tumor growth. Additionally, three (3 identified drug combinations raised possibilities of survival and reduced the development of cancer cells, partly by minimizing activity of pathways associated with TGFβ/ SMAD signaling, which manage the cell life cycle. These preclinical findings identify possibly useful unique medicine mixes for tough to treat several myeloma.
New rank-based protein category method to enhance glioblastoma therapy
- Publication : Cancers
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Summary : Glioblastomas, the most common type of malignant mind lumps, differ considerably, limiting the ability to analyze the biological aspects that drive whether glioblastomas will certainly react to treatment. Nonetheless, information analysis of the proteome– the whole collection of proteins that can be shared by the growth– can 1 offer non-invasive techniques of categorizing glioblastomas to aid notify treatment and 2 determine healthy protein biomarkers connected with interventions to review reaction to treatment. In this research study, researchers created and tested a novel rank-based weighting approach (“RadWise”) for healthy protein includes to help ML algorithms concentrate on the the most relevant variables that show post-therapy end results. RadWise offers a much more efficient path to recognize the proteins and features that can be crucial targets for therapy of these hostile, deadly growths.
Determining liver cancer cells subtypes most likely to respond to immunotherapy
- Magazine : Cell Reports 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer cells is an increasing root cause of cancer cells fatalities in the US. This research examined variant in client outcomes for a kind of immunotherapy making use of immune checkpoint preventions. Scientist noted that particular molecular subtypes of cancer, specified by 1 the aggression of cancer and 2 the microenvironment of the cancer cells, were connected to higher survival prices with immune checkpoint prevention therapy. Identifying these molecular subtypes can aid doctors determine whether an individual’s unique cancer is likely to respond to this type of intervention, implying they can use much more targeted use of immunotherapy and improve chance of success.
Applying algorithms to EHR information to presume pregnancy timing for even more precise mother’s health and wellness research
- Publication : JAMIA, Women’s Health and wellness Scandal sheet
- 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 cause maternity issues, and expectant persons appear to be at higher threat for much more severe COVID- 19 infection. Analysis of health and wellness record (EHR) data can assist supply more insight, but because of data incongruities, it is commonly difficult to ascertain 1 maternity start and end dates and 2 gestational age of the child at birth. To assist, scientists adapted an existing formula for establishing gestational age and pregnancy size that depends on diagnostic codes and distribution dates. To increase the accuracy of this algorithm, the scientists layered on their own data-driven formulas to precisely infer maternity beginning, maternity end, and site time frames throughout a pregnancy’s progression while likewise resolving EHR data variance. This approach can be reliably made use of to make the fundamental inference of maternity timing and can be put on future pregnancy and maternity research on topics such as damaging pregnancy outcomes and maternal death.
A novel technique for solving EHR data top quality problems for medical encounters
- Publication : 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 : Medical experience data can be an abundant source for study, yet it commonly varies greatly across providers, centers, and organizations, making it tough to consistently analyze. This variance is amplified when multisite digital wellness document (EHR) information is networked with each other in a main data source. In this research study, researchers created an unique, generalizable technique for solving scientific experience information for evaluation by integrating related experiences right into composite “macrovisits.” This technique aids adjust and deal with EHR encounter information problems in a generalizable, repeatable way, allowing scientists to more conveniently open the capacity of this rich information for massive research studies.
Improving transparency in phenotyping for Long COVID research study and beyond
- 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 reviewing and categorizing an organism’s qualities, can assist researchers better recognize the differences in between people and groups of individuals, and to recognize details qualities that may be linked to specific illness or problems. Artificial intelligence (ML) can help obtain phenotypes from data, but these are testing to share and recreate as a result of their intricacy. Researchers in this study developed and trained an ML-based phenotype to recognize clients highly possible to have Long COVID, a progressively immediate public health and wellness factor to consider, and showed applicability of this approach for other settings. This is a success story of how clear innovation and cooperation can make phenotyping formulas extra obtainable to a wide audience of scientists in informatics, minimizing duplicated job and providing them with a device to get to understandings quicker, including for other conditions.
Browsing difficulties for multisite real world information (RWD) databases
- Magazine : 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 : Collaborating with big scale systematized EHR data sources such as N 3 C for study needs specialized understanding and cautious assessment of data quality and completeness. This study takes a look at the process of evaluating information quality in preparation for study, concentrating on drug effectiveness studies. Researchers determined several methods and finest practices to much better characterize crucial research aspects consisting of exposure to therapy, baseline wellness comorbidities, and key end results of passion. As big range, systematized real world data sources come to be a lot more common, this is a valuable progression in helping scientists better browse their one-of-a-kind data difficulties while unlocking important applications for medicine growth.
What’s Next for Health And Wellness Research at Palantir
While 2023 saw essential progression, the new year brings with it brand-new possibilities, along with a seriousness to apply the latest technical innovations to the most crucial health and wellness problems encountering people, communities, and the general public at big. For instance, in 2023, the united state Government declared its commitment to combating systemic conditions such as cancer cells, and even launched a brand-new health agency, the Advanced Study Projects Company for Health ( ARPA-H
In addition, in 2024, Palantir is happy to be a sector companion in the ingenious National AI Research Study Resource (NAIRR) pilot program , created under the auspices of the National Scientific Research Structure (NSF) and with funding from the NIH. As component of the NAIRR pilot– whose launch was directed by the Biden Management’s Executive Order on Artificial Intelligence — Palantir will be working with its veteran partners at the National Institutes of Health (NIH) and N 3 C to sustain research ahead of time safe, secure, and credible AI, as well as the application of AI to difficulties in medical care.
In 2024, we’re delighted to deal with companions, new and old, on problems of important significance, using our understandings on data, tools, and research study to aid enable meaningful improvements in health and wellness end results for all.
To learn more regarding our proceeding work across health and wellness and life sciences, see https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies