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   <title>Form  NT 10-K    VivoSim Labs, INC.        For: Mar 31</title>
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   <title>Form  NT 10-K    VivoSim Labs, INC.        For: Mar 31</title>
   <link>http://www.streetinsider.com/SEC+Filings/Form++NT+10-K++++VivoSim+Labs%2C+INC.++++++++For%3A+Mar+31/26706413.html</link>
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   <title>VivoSim presents liver toxicity data at European toxicology conference</title>
   <link>http://www.streetinsider.com/Corporate+News/VivoSim+presents+liver+toxicity+data+at+European+toxicology+conference/26702444.html</link>
   <description>&lt;p&gt;VivoSim Labs, Inc. (Nasdaq: VIVS) announced that data from its 3D human tissue models will be featured in two presentations at the European Society of Toxicology's annual conference, taking place June 29 through July 2, 2026, in Maastricht, the Netherlands.&lt;/p&gt;&lt;p&gt;According to the company's press release, VivoSim's NAMkind™ Liver model achieved 91% predictive accuracy when benchmarked against a clinical dataset of 92 small-molecule compounds, with 90% sensitivity, 95% specificity, and 99% precision under repeat-dose conditions. The company states that traditional animal models and conventional methods provide 50–65% sensitivity for the same compounds, while its models produce fewer than 5% false positives</description>
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   <pubDate>Mon, 29 Jun 2026 08:05:49 -0400</pubDate>
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   <title>VivoSim presents liver toxicity data at European toxicology conference</title>
   <link>http://www.streetinsider.com/FDA/VivoSim+presents+liver+toxicity+data+at+European+toxicology+conference/26702444.html</link>
   <description>&lt;p&gt;VivoSim Labs, Inc. (Nasdaq: VIVS) announced that data from its 3D human tissue models will be featured in two presentations at the European Society of Toxicology's annual conference, taking place June 29 through July 2, 2026, in Maastricht, the Netherlands.&lt;/p&gt;&lt;p&gt;According to the company's press release, VivoSim's NAMkind™ Liver model achieved 91% predictive accuracy when benchmarked against a clinical dataset of 92 small-molecule compounds, with 90% sensitivity, 95% specificity, and 99% precision under repeat-dose conditions. The company states that traditional animal models and conventional methods provide 50–65% sensitivity for the same compounds, while its models produce fewer than 5% false positives</description>
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   <title>VivoSim Presents Data Showing Superiority to Competition in NAM Liver Tox Prediction at European Toxicology Meeting</title>
   <link>http://www.streetinsider.com/Press+Releases/VivoSim+Presents+Data+Showing+Superiority+to+Competition+in+NAM+Liver+Tox+Prediction+at+European+Toxicology+Meeting/26702435.html</link>
   <description>&lt;p&gt;&lt;strong&gt;VivoSim Demonstrates Leadership in Field through AI-enabled NAMkind™ Liver and Intestine with High Accuracy Results, Including for Antibody Drug Conjugates (ADCs)&lt;/strong&gt;&lt;/p&gt;&lt;p align=&quot;justify&quot;&gt;SAN DIEGO, June  29, 2026  (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced that data demonstrating the power of its advanced 3D human tissue models will be featured in two presentations at the European Society of Toxicology’s annual conference.&lt;/p&gt;  &lt;p&gt;The presentations collectively showcase the best-in-industry predictive power of VivoSim's proprietary AI-enabled NAMkind™ Liver and NAMkind™ GI platforms. In liver</description>
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   <title>VivoSim Presents Data Showing Superiority to Competition in NAM Liver Tox Prediction at European Toxicology Meeting</title>
   <link>http://www.streetinsider.com/Globe+Newswire/VivoSim+Presents+Data+Showing+Superiority+to+Competition+in+NAM+Liver+Tox+Prediction+at+European+Toxicology+Meeting/26702435.html</link>
   <description>&lt;p&gt;&lt;strong&gt;VivoSim Demonstrates Leadership in Field through AI-enabled NAMkind™ Liver and Intestine with High Accuracy Results, Including for Antibody Drug Conjugates (ADCs)&lt;/strong&gt;&lt;/p&gt;&lt;p align=&quot;justify&quot;&gt;SAN DIEGO, June  29, 2026  (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced that data demonstrating the power of its advanced 3D human tissue models will be featured in two presentations at the European Society of Toxicology’s annual conference.&lt;/p&gt;  &lt;p&gt;The presentations collectively showcase the best-in-industry predictive power of VivoSim's proprietary AI-enabled NAMkind™ Liver and NAMkind™ GI platforms. In liver</description>
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   <title>VivoSim develops AI tool to predict drug-induced diarrhea</title>
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   <description>&lt;p&gt;VivoSim Labs Inc. (NASDAQ: VIVS) announced the availability of an AI prediction tool that uses human intestinal tissue models to predict whether drug compounds may cause diarrhea in patients. The tool combines the company's NAMkind intestinal models with machine learning analytics to identify drug-induced disruptions to intestinal function.&lt;/p&gt;&lt;p&gt;The AI model was trained using data from dozens of compounds tested in VivoSim's 3D tissue-based assays. The company reported the model achieved 96% predictive accuracy for potential diarrhea occurrence. The system, called VitroSense, measures multiple data endpoints from NAMkind intestine assays and feeds this information into the AI model to assess diarrhea</description>
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   <pubDate>Tue, 28 Apr 2026 08:05:37 -0400</pubDate>
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   <title>VivoSim Platform Predicts Gastrointestinal Toxicity (Diarrhea) in an AI Model Trained on Human Intestinal Model Results – Without Animal Testing</title>
   <link>http://www.streetinsider.com/Press+Releases/VivoSim+Platform+Predicts+Gastrointestinal+Toxicity+%28Diarrhea%29+in+an+AI+Model+Trained+on+Human+Intestinal+Model+Results+%E2%80%93+Without+Animal+Testing/26378803.html</link>
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&lt;p align=&quot;justify&quot;&gt;SAN DIEGO, April  28, 2026  (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced the availability of an AI prediction tool leveraging its NAMkind™ intestinal models to accurately predict the potential of a given drug compound to cause diarrhea in patients. The tool integrates its proprietary NAMkind™ ileum and colon tissues with advanced machine‑learning analytics to identify drug‑induced disruptions to intestinal epithelial integrity and function. Tissue-based assay data is used to train an AI predictive model in a process VivoSim has</description>
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   <title>VivoSim Platform Predicts Gastrointestinal Toxicity (Diarrhea) in an AI Model Trained on Human Intestinal Model Results – Without Animal Testing</title>
   <link>http://www.streetinsider.com/Press+Releases/VivoSim+Platform+Predicts+Gastrointestinal+Toxicity+%28Diarrhea%29+in+an+AI+Model+Trained+on+Human+Intestinal+Model+Results+%E2%80%93+Without+Animal+Testing/26378803.html</link>
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&lt;p align=&quot;justify&quot;&gt;SAN DIEGO, April  28, 2026  (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced the availability of an AI prediction tool leveraging its NAMkind™ intestinal models to accurately predict the potential of a given drug compound to cause diarrhea in patients. The tool integrates its proprietary NAMkind™ ileum and colon tissues with advanced machine‑learning analytics to identify drug‑induced disruptions to intestinal epithelial integrity and function. Tissue-based assay data is used to train an AI predictive model in a process VivoSim has</description>
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   <title>VivoSim Platform Predicts Gastrointestinal Toxicity (Diarrhea) in an AI Model Trained on Human Intestinal Model Results – Without Animal Testing</title>
   <link>http://www.streetinsider.com/Press+Releases/VivoSim+Platform+Predicts+Gastrointestinal+Toxicity+%28Diarrhea%29+in+an+AI+Model+Trained+on+Human+Intestinal+Model+Results+%E2%80%93+Without+Animal+Testing/26378803.html</link>
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&lt;p align=&quot;justify&quot;&gt;SAN DIEGO, April  28, 2026  (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced the availability of an AI prediction tool leveraging its NAMkind™ intestinal models to accurately predict the potential of a given drug compound to cause diarrhea in patients. The tool integrates its proprietary NAMkind™ ileum and colon tissues with advanced machine‑learning analytics to identify drug‑induced disruptions to intestinal epithelial integrity and function. Tissue-based assay data is used to train an AI predictive model in a process VivoSim has</description>
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   <title>VivoSim Platform Predicts Gastrointestinal Toxicity (Diarrhea) in an AI Model Trained on Human Intestinal Model Results – Without Animal Testing</title>
   <link>http://www.streetinsider.com/Press+Releases/VivoSim+Platform+Predicts+Gastrointestinal+Toxicity+%28Diarrhea%29+in+an+AI+Model+Trained+on+Human+Intestinal+Model+Results+%E2%80%93+Without+Animal+Testing/26378803.html</link>
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&lt;p align=&quot;justify&quot;&gt;SAN DIEGO, April  28, 2026  (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced the availability of an AI prediction tool leveraging its NAMkind™ intestinal models to accurately predict the potential of a given drug compound to cause diarrhea in patients. The tool integrates its proprietary NAMkind™ ileum and colon tissues with advanced machine‑learning analytics to identify drug‑induced disruptions to intestinal epithelial integrity and function. Tissue-based assay data is used to train an AI predictive model in a process VivoSim has</description>
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   <title>VivoSim Platform Predicts Gastrointestinal Toxicity (Diarrhea) in an AI Model Trained on Human Intestinal Model Results – Without Animal Testing</title>
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&lt;p align=&quot;justify&quot;&gt;SAN DIEGO, April  28, 2026  (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced the availability of an AI prediction tool leveraging its NAMkind™ intestinal models to accurately predict the potential of a given drug compound to cause diarrhea in patients. The tool integrates its proprietary NAMkind™ ileum and colon tissues with advanced machine‑learning analytics to identify drug‑induced disruptions to intestinal epithelial integrity and function. Tissue-based assay data is used to train an AI predictive model in a process VivoSim has</description>
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   <title>VivoSim Platform Predicts Gastrointestinal Toxicity (Diarrhea) in an AI Model Trained on Human Intestinal Model Results – Without Animal Testing</title>
   <link>http://www.streetinsider.com/Globe+Newswire/VivoSim+Platform+Predicts+Gastrointestinal+Toxicity+%28Diarrhea%29+in+an+AI+Model+Trained+on+Human+Intestinal+Model+Results+%E2%80%93+Without+Animal+Testing/26378803.html</link>
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&lt;p align=&quot;justify&quot;&gt;SAN DIEGO, April  28, 2026  (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced the availability of an AI prediction tool leveraging its NAMkind™ intestinal models to accurately predict the potential of a given drug compound to cause diarrhea in patients. The tool integrates its proprietary NAMkind™ ileum and colon tissues with advanced machine‑learning analytics to identify drug‑induced disruptions to intestinal epithelial integrity and function. Tissue-based assay data is used to train an AI predictive model in a process VivoSim has</description>
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   <title>VivoSim Platform Predicts Gastrointestinal Toxicity (Diarrhea) in an AI Model Trained on Human Intestinal Model Results – Without Animal Testing</title>
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&lt;p align=&quot;justify&quot;&gt;SAN DIEGO, April  28, 2026  (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced the availability of an AI prediction tool leveraging its NAMkind™ intestinal models to accurately predict the potential of a given drug compound to cause diarrhea in patients. The tool integrates its proprietary NAMkind™ ileum and colon tissues with advanced machine‑learning analytics to identify drug‑induced disruptions to intestinal epithelial integrity and function. Tissue-based assay data is used to train an AI predictive model in a process VivoSim has</description>
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   <title>VivoSim Platform Predicts Gastrointestinal Toxicity (Diarrhea) in an AI Model Trained on Human Intestinal Model Results – Without Animal Testing</title>
   <link>http://www.streetinsider.com/Globe+Newswire/VivoSim+Platform+Predicts+Gastrointestinal+Toxicity+%28Diarrhea%29+in+an+AI+Model+Trained+on+Human+Intestinal+Model+Results+%E2%80%93+Without+Animal+Testing/26378803.html</link>
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&lt;p align=&quot;justify&quot;&gt;SAN DIEGO, April  28, 2026  (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced the availability of an AI prediction tool leveraging its NAMkind™ intestinal models to accurately predict the potential of a given drug compound to cause diarrhea in patients. The tool integrates its proprietary NAMkind™ ileum and colon tissues with advanced machine‑learning analytics to identify drug‑induced disruptions to intestinal epithelial integrity and function. Tissue-based assay data is used to train an AI predictive model in a process VivoSim has</description>
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   <title>Form  SCHEDULE 13G  VivoSim Labs, INC.                     Filed by: Esousa Group Holdings LLC</title>
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   <title>Form  SCHEDULE 13G  VivoSim Labs, INC.                     Filed by: Esousa Group Holdings LLC</title>
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   <pubDate>Mon, 06 Apr 2026 13:28:00 -0400</pubDate>
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   <title>Form  8-K        VivoSim Labs, INC.        For: Mar 31</title>
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   <pubDate>Fri, 03 Apr 2026 16:05:00 -0400</pubDate>
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   <title>Form  8-K        VivoSim Labs, INC.        For: Mar 31</title>
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   <title>Form  424B4      VivoSim Labs, INC.                   </title>
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   <pubDate>Thu, 02 Apr 2026 16:01:00 -0400</pubDate>
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   <title>Form  424B4      VivoSim Labs, INC.                   </title>
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   <pubDate>Thu, 02 Apr 2026 16:01:00 -0400</pubDate>
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   <title>VivoSim prices $4 million public offering at $1.14 per share</title>
   <link>http://www.streetinsider.com/Equity+Offerings/VivoSim+prices+%244+million+public+offering+at+%241.14+per+share/26255238.html</link>
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&lt;p&gt;VivoSim Labs Inc. (NASDAQ: VIVS) announced the pricing of a $4 million public offering with an initial closing of $3 million scheduled for April 1, 2026, and a second closing of $1 million planned for 30 days later, subject to certain conditions.&lt;/p&gt;

&lt;p&gt;The initial closing consists of $3 million in common stock or pre-funded warrants at $1.14 per share and $1.139 per pre-funded warrant, representing 286,557 common shares and 2,345,022 pre-funded warrants. The company will also issue 3,947,369 common warrants to purchase up to 150% of the aggregate shares sold at the initial closing.&lt;/p&gt;

&lt;p&gt;The common warrants carry an exercise price of</description>
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   <pubDate>Wed, 01 Apr 2026 08:05:25 -0400</pubDate>
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   <title>VivoSim prices $4 million public offering at $1.14 per share</title>
   <link>http://www.streetinsider.com/Equity+Offerings/VivoSim+prices+%244+million+public+offering+at+%241.14+per+share/26255237.html</link>
   <description>

&lt;p&gt;VivoSim Labs Inc. (NASDAQ: VIVS) announced the pricing of a public offering valued at up to $4 million, with an initial closing of $3 million expected to occur April 1, 2026.&lt;/p&gt;

&lt;p&gt;The initial closing consists of common stock and pre-funded warrants priced at $1.140 per share and $1.139 per pre-funded warrant, representing 286,557 common shares and 2,345,022 pre-funded warrants. The company will also issue 3,947,369 common warrants to purchase up to 150% of the aggregate number of shares sold at the initial closing.&lt;/p&gt;

&lt;p&gt;The common warrants carry an exercise price of $1.710 per share, are immediately exercisable, and expire five years from</description>
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   <pubDate>Wed, 01 Apr 2026 08:05:17 -0400</pubDate>
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   <title>VivoSim prices $4 million public offering at $1.14 per share</title>
   <link>http://www.streetinsider.com/Equity+Offerings/VivoSim+prices+%244+million+public+offering+at+%241.14+per+share/26255237.html</link>
   <description>

&lt;p&gt;VivoSim Labs Inc. (NASDAQ: VIVS) announced the pricing of a public offering valued at up to $4 million, with an initial closing of $3 million expected to occur April 1, 2026.&lt;/p&gt;

&lt;p&gt;The initial closing consists of common stock and pre-funded warrants priced at $1.140 per share and $1.139 per pre-funded warrant, representing 286,557 common shares and 2,345,022 pre-funded warrants. The company will also issue 3,947,369 common warrants to purchase up to 150% of the aggregate number of shares sold at the initial closing.&lt;/p&gt;

&lt;p&gt;The common warrants carry an exercise price of $1.710 per share, are immediately exercisable, and expire five years from</description>
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   <title>VivoSim prices $4 million public offering at $1.14 per share</title>
   <link>http://www.streetinsider.com/Equity+Offerings/VivoSim+prices+%244+million+public+offering+at+%241.14+per+share/26255237.html</link>
   <description>

&lt;p&gt;VivoSim Labs Inc. (NASDAQ: VIVS) announced the pricing of a public offering valued at up to $4 million, with an initial closing of $3 million expected to occur April 1, 2026.&lt;/p&gt;

&lt;p&gt;The initial closing consists of common stock and pre-funded warrants priced at $1.140 per share and $1.139 per pre-funded warrant, representing 286,557 common shares and 2,345,022 pre-funded warrants. The company will also issue 3,947,369 common warrants to purchase up to 150% of the aggregate number of shares sold at the initial closing.&lt;/p&gt;

&lt;p&gt;The common warrants carry an exercise price of $1.710 per share, are immediately exercisable, and expire five years from</description>
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