2023 in Review
Health And Wellness Study + Technology: A Pivotal Moment
Palantir Shop has long contributed in increasing the research searchings for of our wellness and life scientific research partners, aiding accomplish extraordinary insights, streamline information access, enhance data usability, and help with innovative visualization and analysis of information resources– all while safeguarding the privacy and security of the support data
In 2023, Shop sustained over 50 peer-reviewed publications in renowned journals, covering a varied number of subjects– from hospital procedures, to oncological drugs, to learning methods. The year prior, our software program sustained a record variety of peer-reviewed publications, which we highlighted in a previous post
Our companions’ fundamental investments in technical framework during the top of the COVID- 19 pandemic has made the remarkable quantity of publications feasible.
Public and business healthcare companions have actually proactively scaled their financial investments in information sharing and research software beyond COVID response to build a much more extensive data structure for biomedical research. As an example, the N 3 C Enclave — which houses the data of 21 5 M clients from across nearly 100 organizations– is being utilized everyday by hundreds of researchers across firms and organizations. Given the intricacy of accessing, organizing, and taking advantage of ever-expanding biomedical information, the demand for similar study resources remains to climb.
In this blog post, we take a closer check out some notable magazines from 2023 and examine what lies ahead for software-backed research study.
Emerging Innovation and the Acceleration of Scientific Research
The impact of brand-new technologies on the scientific enterprise is increasing research-based outcomes at a formerly difficult range. Emerging technologies and progressed software program are helping create more exact, organized, and easily accessible information assets, which in turn are enabling researchers to deal with progressively intricate scientific obstacles. In particular, as a modular, interoperable, and adaptable platform, Foundry has been used to support a diverse series of clinical research studies with one-of-a-kind research functions, including AI-assisted therapies recognition, real-world proof generation, and more.
In 2023, the industry has additionally seen a rapid growth in rate of interest around making use of Artificial Intelligence (AI)– and in particular, generative AI and huge language designs (LLM)– in the wellness and life science domain names. Alongside various other core technological innovations (e.g., around information high quality and functionality), the possibility for AI-enabled software program to accelerate scientific research study is much more promising than ever before. As a business leader in AI-enabled software, Palantir has actually gone to the forefront of finding responsible, protected, and efficient means to use AI-enabled capacities to support our companions throughout sectors in achieving their crucial goals.
Over the past year, Palantir software program aided drive essential components of our companions’ research study and we stand all set to proceed collaborating with our companions in federal government, market, and civil society to tackle one of the most pressing difficulties in health and science ahead. In the next area, we supply concrete examples of just how the power of software application can help breakthrough clinical research, highlighting some crucial biomedical publications powered by Foundry in 2023
2023 Publications Powered by Palantir Shop
In addition to a variety of essential cancer and COVID therapy studies, Palantir Shop additionally made it possible for new findings in the more comprehensive field of research methodology. Listed below, we highlight an example of several of one of the most impactful peer-reviewed articles published in 2023 that utilized Palantir Foundry to help drive their study.
Determining brand-new efficient medicine mixes for multiple myeloma
- Publication : Cancer cells 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.
- Recap : Numerous myeloma (MM) is often resistant to medication therapy, needing ongoing expedition to recognize new, effective healing combinations. In this research study, scientists used high-throughput medicine screening to recognize over 1900 substances with activity against a minimum of 25 of the 47 MM cell lines checked. From these 1900 substances, 3 61 million mixes were examined in silico, and sets of substances with very correlated activity throughout the 47 cell lines and various mechanisms of action were selected for additional analysis. Particularly, six (6 drug mixes worked at 1 minimizing over-expression of a vital healthy protein (MYC) that is usually connected to the manufacturing of malignant cells and 2 increased expression of the p 16 healthy protein, which can assist the body reduce tumor growth. Moreover, 3 (3 determined medication mixes increased possibilities of survival and decreased the growth of cancer cells, partly by lowering task of paths associated with TGFβ/ SMAD signaling, which control the cell life cycle. These preclinical searchings for determine possibly useful novel medication combinations for tough to deal with multiple myeloma.
New rank-based protein classification method to enhance glioblastoma therapy
- Magazine : Cancers
- Writers : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, the most usual sort of cancerous mind growths, differ significantly, limiting the capacity to analyze the biological elements that drive whether glioblastomas will certainly respond to therapy. Nonetheless, information analysis of the proteome– the whole set of healthy proteins that can be expressed by the growth– can 1 offer non-invasive methods of categorizing glioblastomas to assist educate treatment and 2 determine healthy protein biomarkers related to interventions to review action to therapy. In this research, researchers developed and examined a novel rank-based weighting method (“RadWise”) for healthy protein includes to assist ML formulas focus on the the most pertinent variables that show post-therapy results. RadWise uses a more efficient path to determine the proteins and features that can be essential targets for therapy of these aggressive, fatal growths.
Recognizing liver cancer subtypes most likely to react to immunotherapy
- Publication : Cell Records Medication
- 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.
- Summary : Liver cancer cells is an increasing source of cancer cells deaths in the United States. This research study explored variant in patient end results for a kind of immunotherapy using immune checkpoint inhibitors. Scientist noted that certain molecular subtypes of cancer cells, specified by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were linked to higher survival rates with immune checkpoint prevention treatment. Recognizing these molecular subtypes can assist medical professionals determine whether a client’s unique cancer is most likely to react to this type of intervention, indicating they can use more targeted use immunotherapy and improve probability of success.
Applying formulas to EHR data to presume pregnancy timing for more exact mother’s health and wellness study
- Publication : JAMIA, Female’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., Hill, E.L.
- Summary : There are signs that COVID- 19 can create pregnancy difficulties, and pregnant persons appear to be at higher threat for a lot more severe COVID- 19 infection. Evaluation of wellness record (EHR) data can assist supply even more understanding, but because of data variances, it is typically challenging to determine 1 pregnancy beginning and end dates and 2 gestational age of the child at birth. To aid, researchers adjusted an existing formula for identifying gestational age and maternity length that depends on analysis codes and delivery dates. To enhance the precision of this formula, the researchers layered on their own data-driven algorithms to precisely presume maternity start, pregnancy end, and site time frames throughout a pregnancy’s progression while also addressing EHR information incongruity. This method can be dependably made use of to make the foundational reasoning of pregnancy timing and can be applied to future maternity and maternity study on subjects such as damaging maternity end results and maternal death.
An unique technique for solving EHR data high quality issues for professional experiences
- 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.
- Recap : Professional encounter data can be a rich source for study, however it often varies substantially across suppliers, facilities, and institutions, making it hard to consistently assess. This variance is multiplied when multisite digital wellness record (EHR) data is networked together in a main data source. In this research study, researchers developed an unique, generalizable approach for settling professional experience data for analysis by incorporating associated experiences into composite “macrovisits.” This methodology helps control and settle EHR experience information concerns in a generalizable, repeatable method, permitting scientists to a lot more quickly open the potential of this abundant data for large-scale research studies.
Improving openness in phenotyping for Long COVID study and past
- 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 Recuperate Consortia
- Recap : Phenotyping, the procedure of examining and classifying a microorganism’s characteristics, can assist scientists better recognize the differences between people and groups of individuals, and to identify certain attributes that might be linked to particular diseases or conditions. Machine learning (ML) can help acquire phenotypes from data, however these are testing to share and replicate as a result of their complexity. Researchers in this study designed and educated an ML-based phenotype to recognize individuals extremely likely to have Long COVID, a significantly urgent public health factor to consider, and showed applicability of this method for various other atmospheres. This is a success story of exactly how clear innovation and collaboration can make phenotyping algorithms a lot more available to a wide audience of scientists in informatics, decreasing duplicated work and supplying them with a tool to reach understandings faster, consisting of for various other diseases.
Browsing difficulties for multisite real world information (RWD) data sources
- Magazine : BMC Medical Research Study Methodology
- Writers : 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 huge scale systematized EHR databases such as N 3 C for study needs specialized expertise and cautious assessment of information top quality and completeness. This research study analyzes the procedure of examining data quality to prepare for research study, concentrating on medication effectiveness researches. Scientist determined a number of techniques and finest techniques to better characterize important research study elements consisting of direct exposure to treatment, standard health and wellness comorbidities, and crucial end results of rate of interest. As huge scale, systematized real life data sources become more common, this is a handy advance in assisting scientists better browse their unique data obstacles while unlocking important applications for medicine growth.
What’s Next for Health Study at Palantir
While 2023 saw crucial progression, the brand-new year brings with it brand-new opportunities, as well as a necessity to apply the most recent technical innovations to one of the most important health and wellness issues dealing with individuals, neighborhoods, and the public at huge. For instance, in 2023, the united state Federal government declared its dedication to combating systemic diseases such as cancer cells, and even launched a brand-new health and wellness agency, the Advanced Study Projects Agency for Health And Wellness ( ARPA-H
Moreover, in 2024, Palantir is pleased to be a sector partner in the innovative National AI Research Source (NAIRR) pilot program , developed under the auspices of the National Scientific Research Foundation (NSF) and with financing from the NIH. As part 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 companions at the National Institutes of Wellness (NIH) and N 3 C to sustain study ahead of time secure, protected, and credible AI, along with the application of AI to challenges in medical care.
In 2024, we’re delighted to collaborate with companions, new and old, on issues of crucial importance, applying our learnings on information, devices, and research study to assist make it possible for significant enhancements in wellness outcomes for all.
To get more information about our proceeding job throughout wellness and life sciences, go to https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies