UNITED STATES
SECURITIES AND EXCHANGE COMMISSION
WASHINGTON, D.C. 20549
FORM 6-K
REPORT OF FOREIGN PRIVATE ISSUER
PURSUANT TO RULE 13a-16 OR 15d-16
UNDER THE SECURITIES EXCHANGE ACT OF 1934
For the month of February 2024
Commission File Number: 001-39461
NANO-X IMAGING LTD
Ofer Tech Park
94 Shlomo Shmeltzer Road
Petach Tikva
Israel 4970602
(Address of principal executive office)
Indicate by check mark whether the registrant
files or will file annual reports under cover of Form 20-F or Form 40-F.
Form 20-F ☒
Form 40-F ☐
On February 13, 2024, NANO-X IMAGING LTD. (the
“Company”) announced that its deep-learning medical imaging analytics subsidiary,
Nanox AI Ltd., received 510(k) clearance by the U.S. Food and Drug Administration (FDA) for its artificial intelligence (AI) software,
HealthFLD.
The contents of this Form 6-K, excluding
Exhibit 99.1 attached hereto, are incorporated by reference into the Registration Statement on Form
F-3, File No. 333-271688, and Form
S-8, File No. 333-248322.
EXHIBIT INDEX
SIGNATURES
Pursuant to the requirements
of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto
duly authorized.
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NANO-X IMAGING LTD. |
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By: |
/s/ Ran Daniel |
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Name: |
Ran Daniel |
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Title: |
Chief Financial Officer |
Date: February 13, 2024
Exhibit 99.1
Nanox Receives FDA Clearance for HealthFLD,
an Advanced AI-Based
Software Empowering Clinicians in Assessment of Fatty Liver
Nanox’s HealthFLD is pioneering the use
of a fully automated AI software for liver
attenuation analysis from CT scans that has received FDA 510(k) clearance for use in general
population
Expands Nanox’s offering in AI solutions,
marking third product in Nanox AI’s suite of
population health solutions to become commercially available
PETACH TIKVA, Israel – (BUSINESS WIRE) – February 13, 2024 (“Nanox”
or the “Company,” Nasdaq: NNOX), an innovative medical imaging technology company, today announced that its deep-learning medical
imaging analytics subsidiary, Nanox AI Ltd., received 510(k) clearance by the U.S. Food and Drug Administration (FDA) for HealthFLD, an
artificial intelligence (AI) software that provides automated qualitative and quantitative analysis of liver attenuation from routine
contrast and non-contrast chest and abdomen CT scans in patients between the ages of 18 to 75. HealthFLD is intended to support clinicians
in the detection of fatty liver, correlated with hepatic steatosis, an early sign of metabolic dysfunction-associated steatotic liver
disease (MASLD), formerly referred to as non-alcoholic fatty liver disease (NAFLD).
An estimated 24% of U.S. adults are living with
MASLD or NAFLDi, a metabolic disease linked to obesity, cardiovascular disease and type 2 diabetes, all of which pose significant
public health concerns. Adults with MASLD are not only at risk of developing severe liver complications, such as cirrhosis and metabolic
dysfunction-associated steatohepatitis (MASH), but are also at risk of cardiovascular disease, which is the leading cause of death in
people living with MASLDii. MASLD is commonly asymptomatic until it progresses to advanced liver fibrosis, and the current
gold standard for diagnosis is a liver biopsy, which is invasive and costly. As such, early diagnosis of MASLD could benefit patients
and the healthcare system.
While AI assessment of medical imaging offers a
reliable, non-invasive, large-scale approach to support clinicians in the assessment of hepatic steatosis (fatty liver), it has traditionally
been difficult to assess liver attenuation on contrast-enhanced scans – which make up a large proportion of CT scans – limiting
the ability of clinicians to detect non-severe cases of MASLDiii. HealthFLD was designed to help clinicians in the assessment
and analysis of fatty liver in the general population from routine CT scans.
Amidst rising obesity rates, the prevalence of
liver-related disease is growing, and the need for an approved treatment for MASH has yet to be met. With several late-stage drug candidates
for MASH in development and the availability of GLP-1 drugs for the management of type 2 diabetes and other metabolic diseases, identification
of liver steatosis is especially relevant.
“We are proud to offer HealthFLD as the third
product of Nanox AI’s suite of cutting-edge, AI-powered population health solutions designed to confront chronic diseases of great
public health concern head-on and potentially improve health outcomes,” said Erez Meltzer, Chief Executive Officer of Nanox. “Furthermore,
we believe that AI innovative solutions, and specifically HealthFLD, may deliver substantial advantages to the biopharmaceutical industry
to streamline the identification of candidates for clinical trials of much-needed therapies for liver diseases including MASH. This regulatory
decision solidifies our leadership as a developer of automated
AI software medical devices.”
| i | Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer
M. Global epidemiology of nonalcoholic fatty liver disease—meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology.
2016;64(1):73–84. doi:10.1002/hep.28431 |
| ii | Dulai PS, Singh S, Patel J, Soni M, Prokop LJ, Younossi Z, et
al. Increased risk of mortality by fibrosis stage in nonalcoholic fatty liver disease: systematic review and meta-analysis. Hepatology
2017;65:1557-65. |
| iii | Pickhardt PJ, Blake GM, Kimmel Y, et al. Detection of Moderate
Hepatic Steatosis on Portal Venous Phase Contrast-Enhanced CT: Evaluation Using an Automated Artificial Intelligence Tool. Amer Jour
Roentgen 2023;221(6): 748 – 758. |
In a retrospective 2023 study of 2,917 patients,
published in the American Journal of Roentgenology (AJR), the HealthFLD AI software demonstrated high performance in the detection
of at least moderate hepatic steatosis in contrast-enhanced CT scans, with a sensitivity of 77.8% and specificity of 93.2% at less than
80 HU. Medical imaging offers the only reliable noninvasive method for quantifying liver fat. Integrating HealthFLD with widely used standard
CT scans offers clinicians the potential to opportunistically screen for liver steatosis and possible signs of MASLD on a population level.
“In recent years, automated, deep learning tools have offered an efficient, low-cost tool used to detect diseases in earlier stages,”
said Perry J. Pickhardt, MD, of the University of Wisconsin School of Medicine & Public Health, and lead author of the AJR study.
“We are now at a watershed moment when metabolic diseases are growing in prevalence and more effective treatment options are
becoming available. It’s promising to have a liver solution available that may help evaluate early signs of illness from routine
imaging.”
The HealthFLD clearance is the third product across
the Nanox AI suite of population health solutions to receive FDA clearance. The FDA previously cleared HealthCCSng, a solution that detects
coronary artery calcium (CAC) that presents a risk for coronary artery disease, and HealthOST, a solution that assesses vertebral compression
fractures and bone mineral density to support clinicians in the evaluation and assessment of musculoskeletal disease of the spine (such
as osteoporosis).
About Metabolic Dysfunction-Associated Steatotic
Liver Disease (MASLD)
Metabolic dysfunction-associated steatotic liver
disease (MASLD), formerly referred to as non-alcoholic fatty liver disease (NAFLD), refers to a group of metabolic conditions linked
to obesity, cardiovascular disease and type 2 diabetes. An estimated 30% of the adult population globally has MASLD,iv
a major risk factor for chronic liver disease and for cardiovascular disease, which is the leading cause of mortality in
this patient population.v
About Nanox AI
Nanox AI is the deep-learning medical imaging
analytics subsidiary of Nanox. Nanox.AI solutions are developed to target highly prevalent chronic and acute diseases affecting large
populations around the world. Leveraging AI technology, Nanox AI helps clinicians extract valuable and actionable clinical insights from
routine medical imaging that otherwise may go unnoticed, potentially initiating further medical assessment to establish individual preventative
care pathways for patients. For more information, please visit https://www.nanox.vision/ai.
About Nanox
Nanox (NASDAQ: NNOX) is focused on applying its
proprietary medical imaging technology and solutions to make diagnostic medicine more accessible and affordable across the globe. Nanox’s
vision is to increase access, reduce costs and enhance the efficiency of routine medical imaging technology and processes, in order to
improve early detection and treatment, which Nanox believes is key to helping people achieve better health outcomes, and, ultimately,
to save lives. The Nanox ecosystem includes Nanox.ARC— a multi-source Digital Tomosynthesis system that is cost-effective and user-friendly;
an AI-based suite of algorithms that augment the readings of routine CT imaging to highlight early signs often related to chronic disease
(Nanox.AI); a cloud-based infrastructure (Nanox.CLOUD); and a proprietary decentralized marketplace, through Nanox’s subsidiary,
USARAD Holdings Inc., that provides remote access to radiology and cardiology experts; and a comprehensive teleradiology services platform
(Nanox.MARKETPLACE). Together, Nanox’s products and services create a worldwide, innovative, and comprehensive solution that connects
medical imaging solutions, from scan to diagnosis. For more information, please visit www.nanox.vision.
| iv | Le
MH, Yeo YH, Li X, Li J, Zou B, Wu Y, et al. 2019 Global NAFLD prevalence: a systematic review and meta-analysis. Clin Gastroenterol Hepatol
2022;20:2809-17. |
| v | Dulai PS, Singh S, Patel J, Soni M, Prokop LJ, Younossi Z, et
al. Increased risk of mortality by fibrosis stage in nonalcoholic fatty liver disease: systematic review and meta-analysis. Hepatology
2017;65:1557-65. |
Forward-Looking Statements
This press release contains historical information
and forward-looking statements within the meaning of The Private Securities Litigation Reform Act of 1995 with respect to the business,
financial condition and results of operations of Nanox. All statements that are not historical facts contained in this press release are
forward-looking statements. Such statements include, but are not limited to, any statements relating to the initiation, timing, progress
and results of the Company’s research and development, manufacturing, and commercialization activities with respect to its X-ray
source technology and the Nanox.ARC, the ability to realize the expected benefits of its recent acquisitions and the projected business
prospects of the Company and the acquired companies. In some cases, you can identify forward-looking statements by terminology such as
the words “will,” “believe,” “expect,” “intend,” “plan,” “should,”
“estimate”, “might”, “may”, “should”, “anticipate”, “expect”,
“predict”’ “potential” and similar expressions which are intended to identify forward-looking statements.
Forward-looking statements are based on information the Company has when those statements are made or management’s good faith belief
as of that time with respect to future events and are subject to risks and uncertainties that could cause actual performance or results
to differ materially from those expressed in or suggested by the forward-looking statements. Factors that could cause actual results to
differ materially from those currently anticipated include: risks related to (i) Nanox’s ability to complete development of the
Nanox System; (ii) Nanox’s ability to successfully demonstrate the feasibility of its technology for commercial applications; (iii)
Nanox’s expectations regarding the necessity of, timing of filing for, and receipt and maintenance of, regulatory clearances or
approvals regarding its technology, the Nanox.ARC and Nanox.CLOUD from regulatory agencies worldwide and its ongoing compliance with applicable
quality standards and regulatory requirements; (iv) Nanox’s ability to realize the anticipated benefits of the acquisitions, which
may be affected by, among other things, competition, brand recognition, the ability of the acquired companies to grow and manage growth
profitably and retain their key employees; (v) Nanox’s ability to enter into and maintain commercially reasonable arrangements with
third-party manufacturers and suppliers to manufacture the Nanox.ARC; (vi) the market acceptance of the Nanox System and the proposed
pay-per-scan business model; (vii) Nanox’s expectations regarding collaborations with third-parties and their potential benefits;
(viii) Nanox’s ability to conduct business globally; (ix) changes in global, political, economic, business, competitive, market
and regulatory forces; (x) risks related to the current war between Israel and Hamas and any worsening of the situation in Israel; (xi)
risks related to business interruptions resulting from the COVID-19 pandemic or similar public health crises, among other things; and
(xii) potential litigation associated with our transactions.
For a discussion of other risks and uncertainties,
and other important factors, any of which could cause Nanox’s actual results to differ from those contained in the Forward-Looking
Statements, see the section titled “Risk Factors” in Nanox’s Annual Report on Form 20-F for the year ended December
31, 2022, and subsequent filings with the U.S. Securities and Exchange Commission. The reader should not place undue reliance on any forward-looking
statements included in this press release.
Except as required by law, Nanox undertakes no
obligation to update publicly any forward-looking statements after the date of this press release to conform these statements to actual
results or to changes in the Company’s expectations.
CONTACTS:
Media Contact:
Ben Shannon
ICR Westwicke
NanoxPR@icrinc.com
Investor Contact:
Mike Cavanaugh
ICR Westwicke
mike.cavanaugh@westwicke.com
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