diff --git a/Rmd/publications.Rmd b/Rmd/publications.Rmd
index ea10132..862b292 100644
--- a/Rmd/publications.Rmd
+++ b/Rmd/publications.Rmd
@@ -9,6 +9,10 @@ These papers were written using HADES.
 
 # Clinical application
 
+- Anand TV, Bu F, Schuemie MJ, et al.[Comparative safety and effectiveness of angiotensin converting enzyme inhibitors and thiazides and thiazide-like diuretics under strict monotherapy](https://onlinelibrary.wiley.com/doi/10.1111/jch.14793) J Clin Hypertens (Greenwich). 2024 Apr;26(4):425-430. 
+
+- Cai CX, Nishimura A, Bowring MG, et al. [https://www.sciencedirect.com/science/article/pii/S2468653024001180](Similar Risk of Kidney Failure among Patients with Blinding Diseases Who Receive Ranibizumab, Aflibercept, and Bevacizumab: An Observational Health Data Sciences and Informatics Network Study) Ophthalmol Retina. 2024 Mar 20:S2468-6530(24)00118-0. 
+
 - Khera R, Dhingra LS, Aminorroaya A, et al. [Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM](https://pubmed.ncbi.nlm.nih.gov/37829182/) BMJ Med. 2023 Oct 6;2(1):e000651. 
 
 - Voss EA, Shoaibi A, Yin Hui Lai L, et al. [Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study](https://doi.org/10.1016/j.eclinm.2023.101932) EClinicalMedicine. 2023 Apr;58:101932. 
@@ -98,6 +102,10 @@ These papers were written using HADES.
 
 # Methods research
 
+- Fridgeirsson EA, Williams R, Rijnbeek P, et al. [https://academic.oup.com/jamia/advance-article/doi/10.1093/jamia/ocae109/7676584?login=false](Comparing penalization methods for linear models on large observational health data) Am Med Inform Assoc. 2024 May 20:ocae109.
+
+
+
 - Schuemie M, Reps J, Black A, et al. [Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research](https://pubmed.ncbi.nlm.nih.gov/38269952/) Stud Health Technol Inform. 2024 Jan 25:310:966-970. 
 
 - Bu F, Schuemie MJ, Nishimura A, et al. [Bayesian safety surveillance with adaptive bias correction](https://pubmed.ncbi.nlm.nih.gov/38010062/) Stat Med. 2024 Jan 30;43(2):395-418.
diff --git a/docs/publications.html b/docs/publications.html
index de2c8a5..80ae423 100644
--- a/docs/publications.html
+++ b/docs/publications.html
@@ -448,6 +448,14 @@ <h1 class="title toc-ignore">Publications</h1>
 <div id="clinical-application" class="section level1">
 <h1>Clinical application</h1>
 <ul>
+<li><p>Anand TV, Bu F, Schuemie MJ, et al.<a
+href="https://onlinelibrary.wiley.com/doi/10.1111/jch.14793">Comparative
+safety and effectiveness of angiotensin converting enzyme inhibitors and
+thiazides and thiazide-like diuretics under strict monotherapy</a> J
+Clin Hypertens (Greenwich). 2024 Apr;26(4):425-430.</p></li>
+<li><p>Cai CX, Nishimura A, Bowring MG, et al. <a
+href="Similar%20Risk%20of%20Kidney%20Failure%20among%20Patients%20with%20Blinding%20Diseases%20Who%20Receive%20Ranibizumab,%20Aflibercept,%20and%20Bevacizumab:%20An%20Observational%20Health%20Data%20Sciences%20and%20Informatics%20Network%20Study">https://www.sciencedirect.com/science/article/pii/S2468653024001180</a>
+Ophthalmol Retina. 2024 Mar 20:S2468-6530(24)00118-0.</p></li>
 <li><p>Khera R, Dhingra LS, Aminorroaya A, et al. <a
 href="https://pubmed.ncbi.nlm.nih.gov/37829182/">Multinational patterns
 of second line antihyperglycaemic drug initiation across cardiovascular
@@ -677,6 +685,9 @@ <h1>Clinical application</h1>
 <div id="methods-research" class="section level1">
 <h1>Methods research</h1>
 <ul>
+<li><p>Fridgeirsson EA, Williams R, Rijnbeek P, et al. <a
+href="Comparing%20penalization%20methods%20for%20linear%20models%20on%20large%20observational%20health%20data">https://academic.oup.com/jamia/advance-article/doi/10.1093/jamia/ocae109/7676584?login=false</a>
+Am Med Inform Assoc. 2024 May 20:ocae109.</p></li>
 <li><p>Schuemie M, Reps J, Black A, et al. <a
 href="https://pubmed.ncbi.nlm.nih.gov/38269952/">Health-Analytics Data
 to Evidence Suite (HADES): Open-Source Software for Observational