2023 in Testimonial
Wellness Study + Modern Technology: A Pivotal Moment
Palantir Factory has actually long been instrumental in speeding up the research searchings for of our health and life science companions, aiding accomplish unprecedented understandings, improve data gain access to, improve data usability, and help with innovative visualization and evaluation of information sources– all while shielding the privacy and safety of the backing data
In 2023, Shop supported over 50 peer-reviewed magazines in prestigious journals, covering a varied number of subjects– from healthcare facility procedures, to oncological medications, to learning techniques. The year prior, our software application supported a document number of peer-reviewed publications, which we highlighted in a previous post
Our companions’ foundational financial investments in technological framework throughout the optimal of the COVID- 19 pandemic has actually made the remarkable amount of magazines feasible.
Public and industrial healthcare partners have actually proactively scaled their financial investments in data sharing and study software program beyond COVID action to build a much more extensive data structure for biomedical research study. For instance, the N 3 C Enclave — which houses the information of 21 5 M clients from throughout nearly 100 organizations– is being made use of everyday by hundreds of researchers across companies and companies. Offered the intricacy of accessing, arranging, and using ever-expanding biomedical information, the demand for comparable research study sources remains to climb.
In this blog post, we take a closer take a look at some noteworthy magazines from 2023 and analyze what exists ahead for software-backed research.
Emerging Modern Technology and the Velocity of Scientific Research
The effect of brand-new modern technologies on the scientific business is accelerating research-based outputs at a formerly difficult range. Emerging innovations and advanced software are assisting produce more exact, arranged, and obtainable data assets, which consequently are allowing scientists to take on increasingly complicated clinical difficulties. Specifically, as a modular, interoperable, and adaptable platform, Foundry has actually been utilized to sustain a varied series of scientific researches with unique research functions, including AI-assisted therapeutics recognition, real-world evidence generation, and much more.
In 2023, the industry has actually likewise seen a rapid development in passion around using Expert system (AI)– and specifically, generative AI and huge language models (LLM)– in the wellness and life scientific research domain names. Alongside other core technological innovations (e.g., around information quality and functionality), the possibility for AI-enabled software application to increase clinical study is a lot more encouraging than ever before. As a commercial leader in AI-enabled software program, Palantir has actually gone to the forefront of finding accountable, safe, and effective methods to apply AI-enabled capabilities to support our companions throughout industries in accomplishing their crucial missions.
Over the previous year, Palantir software assisted drive vital elements of our partners’ research study and we stand prepared to proceed collaborating with our companions in government, sector, and civil culture to tackle one of the most important difficulties in wellness and scientific research ahead. In the following section, we provide concrete instances of how the power of software program can help advancement clinical study, highlighting some essential biomedical publications powered by Foundry in 2023
2023 Publications Powered by Palantir Foundry
In addition to a number of vital cancer cells and COVID treatment studies, Palantir Shop additionally enabled new findings in the more comprehensive area of study method. Listed below, we highlight an example of several of one of the most impactful peer-reviewed posts published in 2023 that utilized Palantir Shop to help drive their study.
Recognizing new effective drug combinations for multiple myeloma
- Publication : 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.
- Recap : Numerous myeloma (MM) is regularly resistant to medicine treatment, calling for continued expedition to identify brand-new, efficient restorative mixes. In this study, scientists utilized high-throughput medicine testing to recognize over 1900 compounds with activity against at the very least 25 of the 47 MM cell lines evaluated. From these 1900 substances, 3 61 million mixes were examined in silico, and pairs of compounds with very correlated task throughout the 47 cell lines and various mechanisms of action were chosen for more analysis. Especially, 6 (6 medication combinations were effective at 1 decreasing over-expression of a key healthy protein (MYC) that is frequently connected to the production of malignant cells and 2 boosted expression of the p 16 healthy protein, which can assist the body reduce tumor growth. Additionally, 3 (3 determined medication mixes boosted chances of survival and lowered the development of cancer cells, partially by reducing task of paths involved in TGFβ/ SMAD signaling, which manage the cell life cycle. These preclinical searchings for recognize potentially useful novel medication mixes for challenging to deal with numerous myeloma.
New rank-based protein category approach 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 cancerous mind growths, vary greatly, restricting the capacity to examine the organic variables that drive whether glioblastomas will respond to therapy. Nevertheless, information analysis of the proteome– the whole collection of healthy proteins that can be expressed by the lump– can 1 offer non-invasive techniques of identifying glioblastomas to aid inform therapy and 2 identify healthy protein biomarkers related to treatments to examine response to therapy. In this study, scientists established and evaluated an unique rank-based weighting method (“RadWise”) for healthy protein features to help ML algorithms concentrate on the the most appropriate factors that suggest post-therapy results. RadWise supplies a much more reliable pathway to determine the healthy proteins and functions that can be essential targets for treatment of these hostile, deadly growths.
Recognizing liver cancer 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.
- Recap : Liver cancer is a rising source of cancer cells deaths in the United States. This research explored variant in client outcomes for a type of immunotherapy making use of immune checkpoint preventions. Scientist noted that specific molecular subtypes of cancer cells, defined by 1 the aggressiveness of cancer cells and 2 the microenvironment of the cancer cells, were connected to greater survival rates with immune checkpoint prevention therapy. Recognizing these molecular subtypes can aid doctors recognize whether a client’s special cancer cells is most likely to react to this kind of intervention, indicating they can use much more targeted use of immunotherapy and enhance probability of success.
Applying algorithms to EHR data to infer pregnancy timing for even more exact maternal health research study
- Publication : JAMIA, Women’s Wellness Special Edition
- 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.
- Summary : There are indicators that COVID- 19 can trigger maternity complications, and expecting individuals seem at higher threat for much more extreme COVID- 19 infection. Evaluation of health and wellness document (EHR) data can aid offer even more insight, but due to information incongruities, it is frequently hard to ascertain 1 maternity start and end dates and 2 gestational age of the child at birth. To aid, researchers adapted an existing algorithm for figuring out gestational age and maternity size that counts on diagnostic codes and distribution dates. To enhance the accuracy of this algorithm, the researchers layered on their own data-driven algorithms to specifically infer maternity start, pregnancy end, and landmark timespan throughout a maternity’s development while additionally dealing with EHR information disparity. This method can be reliably made use of to make the fundamental inference of pregnancy timing and can be put on future maternity and maternal study on topics such as adverse pregnancy results and maternal death.
A novel technique for solving EHR information quality concerns for professional encounters
- Magazine : 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 information can be a rich resource for research study, yet it commonly varies significantly across providers, centers, and establishments, making it hard to consistently assess. This disparity is magnified when multisite electronic health and wellness record (EHR) information is networked with each other in a main data source. In this study, scientists established a novel, generalizable method for fixing scientific encounter information for evaluation by incorporating related experiences into composite “macrovisits.” This methodology helps adjust and settle EHR experience information concerns in a generalizable, repeatable way, permitting scientists to extra easily unlock the possibility of this abundant data for large research studies.
Improving openness in phenotyping for Long COVID research study and beyond
- 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 Recoup Consortia
- Recap : Phenotyping, the procedure of assessing and categorizing an organism’s characteristics, can assist researchers better comprehend the distinctions in between individuals and teams of individuals, and to recognize details attributes that may be linked to particular illness or problems. Artificial intelligence (ML) can help derive phenotypes from data, but these are challenging to share and reproduce because of their complexity. Researchers in this research designed and educated an ML-based phenotype to identify patients extremely likely to have Lengthy COVID, a significantly immediate public wellness factor to consider, and revealed applicability of this approach for other environments. This is a success story of exactly how transparent innovation and cooperation can make phenotyping algorithms more easily accessible to a wide target market of researchers in informatics, minimizing copied work and offering them with a device to get to understandings quicker, consisting of for other diseases.
Navigating obstacles for multisite real life information (RWD) data sources
- Publication : BMC Medical Study Approach
- 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 big scale streamlined EHR databases such as N 3 C for research needs specialized understanding and mindful evaluation of information top quality and completeness. This study examines the procedure of analyzing information quality in preparation for research, concentrating on drug efficiency research studies. Scientist determined a number of approaches and finest techniques to better identify essential research study aspects consisting of exposure to therapy, baseline health comorbidities, and essential results of passion. As large range, streamlined real life databases come to be much more prevalent, this is a useful step forward in helping researchers better browse their unique data obstacles while unlocking vital applications for drug growth.
What’s Next for Health And Wellness Research at Palantir
While 2023 saw crucial progression, the new year brings with it new opportunities, as well as an urgency to apply the most recent technological developments to one of the most important wellness concerns dealing with individuals, neighborhoods, and the general public at large. For instance, in 2023, the united state Government reaffirmed its dedication to combating systemic illness such as cancer cells, and even released a brand-new health company, the Advanced Research Study Projects Firm for Wellness ( ARPA-H
Moreover, in 2024, Palantir is proud to be an industry companion in the cutting-edge National AI Research Resource (NAIRR) pilot program , developed under the auspices of the National Scientific Research Foundation (NSF) and with funding from the NIH. As component of the NAIRR pilot– whose launch was directed by the Biden Administration’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 support study beforehand secure, safe, and trustworthy AI, in addition to the application of AI to difficulties in healthcare.
In 2024, we’re excited to collaborate with partners, brand-new and old, on problems of important value, using our knowings on data, devices, and research to assist make it possible for meaningful enhancements in wellness outcomes for all.
To read more about our continuing job across health and life scientific researches, go to https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies