AI in Medicine News — 2026-09-23 (Wed)

Overview

The most active movement is related to regulatory approval of diagnostic imaging and pathology AI (expansion of FDA approval). While there are multiple reports on prognosis prediction and preoperative evaluation in diagnostic areas such as breast cancer MRI and pancreatic cancer pathology AI, in the drug discovery area, the search for new candidates using AI agents and Iambic's IPO filing are notable. Specific data from ClinicalTrials.gov regarding trial status is not included in this input.

Breast cancer

- Reported that AI using breast MRI predicted the spread (progression) of cancer before surgery (Bioengineer.org). Subjects and evaluation level (single facility, prospective/retrospective) are not stated in the heading. - A report that multimodal AI can refine the decision to intensify postoperative drug therapy in early-stage high-risk breast cancer (Oncodaily). The stage/evidence level is unclear from the headline. - SimBioSys and Venture Café Phoenix will hold a panel on AI, innovation, and the future of breast cancer care (PR Newswire, event announcement).

lung cancer

The development stage and verification method are not stated in the heading (presumed to be in the preclinical stage, but not specified as the text has not been confirmed). - FDA clears AI triage software for 10 abdominopelvic CT findings (diagnosticimaging.com). It targets the abdominopelvic region rather than lung cancer. - A review article (CancerNetwork) discussing the evolution of AI in oncology and its impact on clinical trials, workflows, and outcomes.

Malignant brain tumor

- Reports that AI-assisted triage in the emergency department improved triage accuracy and patient flow (2 Minute Medicine). There is no mention of brain tumor specialization, but general emergency triage content. - AI-assisted brain surgery saves vision in Bedfordshire patient (Healthcare Today). This is a single case report, and generalizability cannot be determined from the headline.

Leukemia/lymphoma

- Reported that AI interpreted lymph node tissue images of lymphoma and showed accuracy close to that of pathologists (targeting canine lymphoma, Bioengineer.org). Extrapolation to humans is not mentioned in the heading. - Reported that AI automatically diagnosed PET/CT images of lymphoma and predicted survival prognosis (Bioengineer.org). No description of validation population or equivalent evidence level. - Reported that AI method has identified a candidate drug for leukemia treatment (Technology Networks). The development stage (preclinical, etc.) is unclear from the headline. - Utilization of AI is a hot topic at "Light the Night" (blood cancer awareness event) in Rochester (spectrumlocalnews.com, event related article).

Colon cancer/digestive organ

- Reported that AI scans pathology slides and predicts recurrence of pancreatic cancer (healthcare-in-europe.com). The number of target patients and whether the study was prospective/retrospective are not stated in the heading. - Mayo Clinic's AI detected pancreatic cancer several years earlier than diagnosis (Medical Economics, in a breaking news summary with other news). Detailed study design is not described. - No report on endoscopic detection specific to colorectal cancer is found in the heading.

Rare cancer

There are no direct reports on adenoid cystic carcinoma in the heading. Regarding rare diseases, there has been an announcement of a Korean ARPA-H joint research project (approximately 3 billion won, with an additional 800 million won) aimed at linking rare disease diagnosis AI to treatment development, but the cancer type has not been specified.

Diagnosis/Pathology/Image

- FDA allows expansion of abdominopelvic CT triage AI to support 10 findings (diagnosticimaging.com, a2z Radiology AI related itnonline.com). - a2z Radiology AI announces expansion of acute care suite by 10 new findings (Business Wire). Details of FDA approval (clearance classification, etc.) are unclear from the headline. - Reports an AI assistant that learns from radiology reports and points out abnormalities in abdominal scans (Medical Xpress). - Voicebrook announces digital pathology collaboration with Indica Labs to realize automatic AI biomarker reporting (PR.com, company announcement). - A market trends article (globenewswire.com) states that the automated microscopy market is expanding due to advances in AI image analysis.

Treatment selection/drug discovery

- Iambic Therapeutics (funded by Nvidia) has applied for an IPO on Nasdaq and plans to use the proceeds to develop cancer treatment drugs (Yahoo Finance, Axios, AllSci). This stage is the funding stage for drug discovery companies. - AbbVie and Iambic announce multi-year partnership in AI drug discovery (Healthcare Digital, Investing.com). Details of the stage (preclinical/clinical) are not listed in the heading. - An article discussing how AI can discover undiscovered targets for cancer immunotherapy (Oncodaily, opinion piece). - Article discussing the potential use of curation data and AI in regional drug discovery (Mexico Business News).

Regulations/Approval

- FDA allows AI triage software for abdominopelvic CT to expand support to 10 findings (diagnosticimaging.com, Business Wire). The approval classification of the item (510(k), etc.) is not specified in the heading. - Illinois Governor Pritzker signed an executive order (state-level executive order) establishing an "AI cabinet" to conduct AI risk assessments (Patch). A state-wide AI risk assessment framework, rather than regulations specific to cancer care. - There are reports that Goldman Sachs has proposed a target price of $75 for Tempus AI (TEM), but this is investment-related information and is outside the scope of this report (stock market prices are not covered).

Clinical trial implementation status

No relevant information (The current input does not include data on the specific trial name, target cancer type, phase, and registration status from ClinicalTrials.gov).

Japanese movements

- Iambic Therapeutics' application for listing on Nasdaq has been reported in Japanese media (BigGo Finance). - An article (d Menu News) that discusses the expansion of treatment possibilities through immunotherapy and AI drug discovery, asking, "To what extent can cancer, the number one cause of death in Japanese people, be cured?" There is no definitive description of a curative effect. - An article discussing the possibility of new drug development using AI to discover unexpected relationships between diseases (Newsweek Japan Edition). - Article dealing with the controversy surrounding AI's involvement in medical decisions and the "responsible entity" (BigGo Finance). - AI drug discovery partnership between AbbVie and Iambic is reported in Japanese (Investing.com).

Remarks from VIPs

The list of important people being tracked is blank, so no relevant information is available.

Latest news on AI and rare and incurable diseases

Latest news on AI and rare and incurable diseases

Latest news on AI and rare and incurable diseases

Overview

In the diagnostic field, there are mainly presentations on AI pathology and genome mapping, and there are no headlines indicating specific progress in therapeutic drugs or systems. Several companies announced the construction of genetic analysis infrastructure (dataset preparation). There are no headings showing individual trends in the 348 designated intractable diseases.

Diagnosis of rare diseases

MGI announced its AI-enabled pathology portfolio “VisiOmics” in Europe at ECP 2026

News-Medical

. Numerical values showing diagnostic accuracy and shortened time to diagnosis are not listed in the headline and are unknown. Google DeepMind maps 9 billion DNA mutations and shows its potential for use in elucidating rare diseases

WION

. This is the construction of a mutation map, and does not indicate clinical application to cases or improvement in diagnostic rate.

Gene analysis/genome

Precure selects Helix to provide multi-omics testing and AI tools [Genetic Engineering and Biotechnology News]. Pure Genetic Medical and Breakthrough Genomics launch AI-powered “Virtual Geneticist”

Select Science

, There are no specific numerical values such as mutation determination accuracy in the heading. Tempus AI is also building a large-scale whole-genome multimodal dataset

Bitget

Yahoo Finance

. All of these are at the stage of developing research infrastructure and datasets, and are not reports that demonstrate clinical ability to interpret mutations. The Mainichi Keizai article reports that DeepMind used AI to pre-analyze and map the approximately 9 billion single-letter changes (single nucleotide mutations) in human DNA, and appears to be referring to the same initiative as WION's report.

Development of therapeutic drugs

No applicable information.

Nerve/muscular diseases

No applicable information.

Immunology/Collagen disease

No applicable information.

Rare metabolic/endocrine diseases

No applicable information.

System/Patient Support

No applicable information.

Japanese movements

It was reported that Anthropic will establish a biology research institute and begin full-scale AI drug discovery efforts.

Infoseek News

. The target disease/stage (pre-clinical or not, etc.) is not stated in the heading and is unknown. Mainichi Keizai (Korean media) has reported on DeepMind's mapping of DNA mutations, but it does not indicate the movements of systems and institutions in Japan.

Remarks from VIPs

No applicable information.

Latest news on AI and cancer treatment

Overview

Mainly company trends in the diagnostic/imaging field (CT/radiation AI) and FDA-related permission information. In the drug discovery field, multiple collaborations between major pharmaceutical companies (AbbVie) and AI startups have been reported. Specific primary information indicating the progress of the clinical trial (registration status, phase, endpoint) cannot be confirmed from the headline.

Breast cancer

- In the field of medical examinations, it was reported that Lord's Mark's AI-powered breast cancer screening technology will proceed to the "final clinical trial" stage in the US, UK, and Europe, with a rollout target of April 2027. However, details of the study design, target size, and endpoints are not listed in the heading. - There are reports related to medical examinations using AI wearable technology, but no specific indicators (sensitivity, specificity, etc.) of "final test success" are mentioned in the headline. - The OncLive article discusses the advantages and limitations of AI tools in breast oncology (it appears to be a review, but details are unknown). - In both cases, the stage and evidence level are not clearly stated in the headings, so a definitive evaluation is avoided.

lung cancer

- No relevant information (items classified under the heading "Lung cancer" are mainly related to biliary tract cancer, CT image AI, and drug discovery, and content specific to lung cancer cannot be confirmed).

Malignant brain tumor

- No relevant information (there is information on the FDA's approval of the CT image AI triage tool, but no specific indication for brain tumors is specified in the heading).

Leukemia/lymphoma

- No applicable information.

Colon cancer/digestive organ

- No relevant information (only general articles on ``Children's use of AI'', no specific reports on colon cancer/endoscopy detection).

Rare cancer

- No direct reporting on adenoid cystic carcinoma in the headlines. Anthropic's additional funding for Australian scientific research (total of A$13 million) is listed in the related category, but the details of the cancer type and research content are not listed in the headline.

Diagnosis/Pathology/Image

- It was reported that Lunit's AI biomarker research has shown the possibility of predicting treatment response in HER2-positive biliary tract cancer (cholangiocarcinoma) and was published in Nature Medicine. The size of the study and whether it was retrospective/prospective are not stated in the heading. - Multiple media reported that a2z Radiology's CT imaging AI device has received FDA approval and has expanded its acute care suite to accommodate 10 new findings (Radiology Business, Enidnews, etc.). The specific names of the findings targeted for expanded indications are not listed in the heading. - Altis Labs has raised $25 million in Series A funding for its CT imaging AI tool, with the aim of expanding its use in cancer clinical trial support. - Merge announces AI layer for enterprise imaging platforms (product announcement, not clinical report). - The article on diagnosticimaging.com discusses the multi-party issues of value evaluation and cost evaluation in the introduction of AI (overview).

Treatment selection/drug discovery

- AbbVie and Iambic announced a partnership in AI drug discovery to accelerate small molecule drug discovery. The stage appears to be preclinical (exploratory), but the heading only mentions "collaboration" and "partner" without mentioning a specific phase (Phase I, etc.). - Boehringer Ingelheim has entered into a partnership with Envisagenics to analyze RNA splicing and search for cancer targets using AI technology (apparently in the preclinical/target discovery stage, but details are not listed in the headline). - The Tech Explorist article reports on the possibility that building "virtual cells" using AI could help speed up the drug discovery process (apparently at the basic research/proof-of-concept stage). - Oncodaily (Mr. Fabio Ynoe de Moraes) publishes a weekly evidence brief on the use of AI in the field of radiation oncology (details of content are not listed in the heading).

Regulations/Approval

- FDA: a2z Radiology's CT image AI triage tool received clearance (510(k), etc. permission, type not listed in heading) for detection function for 10 additional findings on CT images. - Other than the above, no other approval/designation information regarding EMA/PMDA is applicable.

Clinical trial implementation status

As primary information from ClinicalTrials.gov, descriptions that specifically link the trial name, target cancer type, phase, and registration status cannot be found in the headings. There is mention of "final clinical trials" regarding Lord's Mark's breast cancer screening technology, but the NCT number, phase, and registration status are unknown, so we cannot speculate on the number or status of cases.

Japanese movements

- It was reported that Alibaba's AI image diagnosis system "Damo Radar" has expanded its ability to detect stomach cancer and approximately 150 medical conditions (reported by Japanese media VOI.ID, the company itself is Chinese). There is no entry in the heading regarding recruitment and clinical evaluation at domestic medical institutions. - An article with the headline ``Corporate value has doubled, but there are no ``real drugs''...The inconvenient truth about new AI drugs'' was found that discusses the discrepancy between the corporate value evaluation of AI drug discovery companies and actual drug development results. Target company names and specific data are not listed in the headings. - There have been multiple reports of the announcement of the opening of a corporate website by DataMEDS AI (the company after the acquisition was completed), but this is corporate information for the stock market, and due to regulations, descriptions of stock prices and market prices will not be covered in this report. Clinical and research content is not listed in the heading.

Remarks from VIPs

- The list of important people being tracked is blank, so there is no relevant information. The publication of a weekly evidence brief by Fabio Ynoe de Moraes (radiation oncology, Oncodaily contributor) has been confirmed, but the content of the statement itself is not listed in the headline.

Latest news on AI and rare and incurable diseases

Overview

This period has no headlines that show direct progress in the diagnosis and treatment of designated intractable diseases, but focuses on genome analysis platforms, trends in AI drug discovery companies, and announcements by Anthropic to establish a biological research institute. In terms of systems, primary reporting within Japan was limited.

Diagnosis of rare diseases

No applicable information

Gene analysis/genome

There is a headline stating that Tempus AI (TEM) has announced the "100,000 Genome Platform," but the target disease, diagnostic accuracy, and verification stage (preclinical/case report, etc.) are not mentioned in the headline and are unclear. There are multiple articles regarding the company's stock price and investor trends, but these are market information and do not indicate medical effects or verification results. There is also a report (Earth.com) that an AI model has been trained to detect "dangerous DNA," but the target disease, specific detection accuracy, and verification stage are unclear from the headline.

Development of therapeutic drugs

There are reports (CHOSUNBIZ, Business + IT) that Anthropic will establish a biological research laboratory in the United States and focus its search for new drugs on the preclinical stage and rare disease areas. Both are at the stage of establishment and policy announcement, and the specific compound name, target disease name, and clinical trial stage are not listed in the heading.

Nerve/muscular diseases

There is a report (CBS News) that an ALS (Amyotrophic Lateral Sclerosis) patient is now able to communicate again using a brain chip and an AI program. ALS is a disease that is included in the group of designated intractable neurological and muscular diseases, but the notification number is not listed in the headline and cannot be confirmed. The number of cases, number of subjects, and verification stage (case report or clinical trial) are unclear from the headline, and it should be noted that there is a possibility of a single case.

Immunology/Collagen disease

No applicable information

Rare metabolic/endocrine diseases

No applicable information

System/Patient Support

No relevant information (there are no specific headings regarding medical expense subsidies, intractable disease laws, research groups, and patient associations)

Japanese movements

Japanese-speaking coverage includes an article introducing Anthropic's establishment of a biological research institute (Business + IT) and an article predicting the future of the digital pathology market (Niconico News, expected to reach USD 8.5 billion in 2035, CAGR 18.9%). The latter is a market forecast regarding the use of AI to improve the efficiency of pathological image analysis and diagnostic workflows, and there is no mention of specific designated intractable diseases or specific diagnostic accuracy in the headline.

Remarks from VIPs

No relevant information (headings do not include statements by important people or comments with titles)